Method, device and equipment for testing performance of end face of optical fiber bundle

Abstract

The invention discloses an optical fiber bundle end face performance test method, device and equipment. The method comprises the steps of obtaining a target performance test requirement; analyzing the target performance test requirement to generate at least one target test parameter; generating a target test scheme corresponding to the at least one target test parameter, wherein the target test scheme comprises one or more combinations of a light source starting process, a light source brightness adjusting process, a light source position adjusting process, a target test board position adjusting process and a data processing process; and controlling the corresponding light source and / or the target test board according to the target test process, acquiring an end face image of the optical fiber bundle and / or an imaging image of the target test board, and then carrying out data processing to generate a performance test result. According to the invention, various performance detection of the optical fiber bundle can be fully automatically completed, errors caused by naked eye detection are avoided, and meanwhile, the brightness of each light source is adjustable, so that the optical fiber bundle detection device adapts to optical fiber bundles with different lengths and different transmittances.

Description

Technical Field

[0001] The present invention relates to the field of optical fiber detection, and in particular to a method, device and equipment for testing the performance of an optical fiber bundle end face. Background Art

[0002] Optical fiber is widely used in communications, healthcare, and other fields due to its high-quality light-guiding properties. Laser transmission is particularly common, with fiber bundles being a popular method of transmitting laser light. As a precision transmission medium, fiber bundles are subject to defects such as dust, dirt, scratches, damage, and poor polishing on their end faces, which can severely impact light transmission efficiency and signal integrity. Therefore, strict inspection of the fiber bundle end faces is essential during the production process to maximize their effectiveness.

[0003] The current detectors used on the market for inspecting fiber bundle end faces require the fiber bundle to be inserted into an adapter during use. The inspector then determines whether the fiber bundle end face is qualified by directly observing the image of the fiber bundle end face displayed through an eyepiece or a monitor. The following shortcomings exist when using the above-mentioned detectors to inspect fiber bundle end faces:

[0004] 1) When the detector detects the end face of the optical fiber bundle, the operator needs to use his or her own experience and subjective judgment of the clarity of the detection image to roughly adjust the position of the optical fiber bundle end face relative to the detection lens. Not only are the parameters that can be detected limited, but the efficiency and accuracy are also low. In addition, the inability to provide a suitable lighting source leads to unstable quality of the obtained detection image.

[0005] 2) Fiber optic bundles generally contain tens of thousands of optical fibers, which can easily be missed by naked eye observation, resulting in human errors.

[0006] 3) The end face of the optical fiber bundle is in a honeycomb shape. Observing this dense honeycomb shape with the naked eye a certain number of times can easily cause eye fatigue and discomfort. Summary of the Invention

[0007] The present invention provides a method, device and equipment for testing the performance of an optical fiber bundle end face, which solve the above-mentioned technical problems.

[0008] A first aspect of an embodiment of the present invention provides a performance testing device for an optical fiber bundle end face, comprising a first light source, a second light source, a third light source, a first clamping mechanism for clamping a target test plate, a second clamping mechanism for clamping an optical fiber bundle to be tested, a lens assembly, a dichroic mirror, and an image acquisition unit.

[0009] The first light source is arranged above the dichroic mirror, and the light source light of the first light source is reflected by the dichroic mirror and focused by the lens group to enter the proximal end of the optical fiber bundle to be detected;

[0010] The second light source is arranged obliquely above the optical fiber bundle to be detected, and the light source light emitted by the second light source is obliquely incident on the optical fiber bundle to be detected at a preset angle, and enters the lens group after diffuse reflection by the cladding and coating layer of the optical fiber bundle to be detected, and is focused by the lens group and then transmitted through the dichroic mirror;

[0011] The third light source is arranged at the distal end of the optical fiber bundle to be detected, and the light source light of the second light source is injected from the distal end of the optical fiber bundle to be detected and emitted from the proximal end, and then is focused by the lens group and transmitted through the dichroic mirror;

[0012] The image acquisition unit is used to acquire an end face image of the optical fiber bundle to be detected or an imaging image of the target test board when any one of the first light source, the second light source and the third light source is turned on.

[0013] A second aspect of an embodiment of the present invention provides a performance testing device for an optical fiber bundle end face, comprising a computer-readable storage medium and a processor, wherein the processor implements the steps of the above-mentioned performance testing method for an optical fiber bundle end face when executing a computer program on the computer-readable storage medium.

[0014] A second aspect of an embodiment of the present invention provides a method for testing the performance of an optical fiber bundle end face, based on the performance testing device described above, comprising the following steps:

[0015] Step 1: Obtain target performance test requirements;

[0016] Step 2: parse the target performance test requirement and generate at least one target test parameter;

[0017] Step 3: Generate a target test plan corresponding to at least one target test parameter, wherein the target test plan includes one or more combinations of a light source start-up process, a light source brightness adjustment process, a light source position adjustment process, a target test board position adjustment process, and a data processing process;

[0018] Step 4: Initialize the performance test device, control the corresponding light source and / or target test board according to the target test process, and collect the end face image of the optical fiber bundle and / or the imaging image of the target test board through the image acquisition unit, perform data processing, and generate corresponding performance test results;

[0019] The target test parameters include multiple ones of the geometric parameters of the end face of the optical fiber bundle to be tested, the imaging circle diameter, the lateral resolution, the cladding diameter, the coating diameter, the defect rate, the light uniformity, and the autofluorescence intensity.

[0020] In a preferred embodiment, the method further includes, when there are multiple target test parameters, obtaining and comparing the target test scheme corresponding to each target test parameter, and merging the corresponding test schemes when there are the same light source start-up process or intermediate image processing results.

[0021] A third aspect of the embodiments of the present invention further provides a performance testing device for an optical fiber bundle end face, comprising an image processing unit, which executes the above-mentioned performance testing method for an optical fiber bundle end face.

[0022] The beneficial effects of the present invention are as follows: the present invention provides a method, device and equipment for testing the performance of the end face of an optical fiber bundle, which can automatically complete various performance tests of the optical fiber bundle, avoiding errors caused by naked eye detection. At the same time, the brightness of each light source can be adjusted to adapt to optical fiber bundles of different lengths and different transmittances.

[0023] In order to make the above-mentioned objects, features and advantages of the invention more obvious and easy to understand, preferred embodiments of the present invention are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0025] Figure 1 is a schematic structural diagram of a performance testing device for an optical fiber bundle end face provided by an embodiment;

[0026] Figure 2 is a schematic flow chart of a method for testing the performance of an optical fiber bundle end face provided by an embodiment;

[0027] Figure 3 The diagram is a structural diagram of an image processing unit in a performance testing device provided by an embodiment. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0029] It should be noted that, unless there is a conflict, the various features of the embodiments of the present invention may be combined with each other and are all within the scope of protection of the present invention. In addition, although the functional modules are divided in the device schematics and the logical order is shown in the flow charts, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flow charts. Furthermore, the terms "first," "second," "third," etc. used in the present invention do not limit the data or execution order, but only distinguish between identical or similar items with substantially the same functions and effects.

[0030] Example 1

[0031] Figure 1 Schematic diagram of the structure of a performance test device for an optical fiber bundle end face provided in Example 1. Figure 1 As shown, the apparatus comprises a first light source 1, a second light source 2, a third light source 3, a first clamping mechanism 10 for clamping a target test plate, a second clamping mechanism for clamping a fiber bundle to be detected 15, a lens assembly 7, a dichroic mirror 6, and an image acquisition unit 5. Exemplarily, the second clamping mechanism comprises a proximal clamping device 8 for clamping one end of the fiber bundle to be detected close to the lens assembly 7 and a distal clamping device 12 for clamping the other end (i.e., the distal end) of the fiber bundle to be detected 15. The first clamping mechanism 10 is disposed between the third light source 3 and the distal end of the fiber bundle to be detected 15.

[0032] like Figure 1 As shown, the first light source 1 is disposed above the dichroic mirror 6 , and the light from the first light source 1 is reflected by the dichroic mirror 6 and focused by the lens group 7 before entering the proximal end of the optical fiber bundle 15 to be detected.

[0033] The second light source 2 is arranged obliquely above the optical fiber bundle 15 to be detected. The light emitted by the second light source 2 is obliquely incident on the optical fiber bundle 15 to be detected at a preset angle, and enters the lens group 7 after diffuse reflection by the cladding and coating layer of the optical fiber bundle 15 to be detected, and is focused by the lens group 7 and then transmitted through the dichroic mirror 6.

[0034] The third light source 3 is arranged at the distal end of the optical fiber bundle 15 to be detected. The light from the second light source 3 enters from the distal end of the optical fiber bundle 15 to be detected, exits from the proximal end, is focused by the lens group 7, and transmits through the dichroic mirror 6.

[0035] Exemplarily, the first light source 1 is a laser, and the second light source 2 and the third light source 3 are ordinary lighting light sources, all of which are parallel surface light sources. By controlling the on / off sequence of the first light source 1, the second light source 2, and the third light source 3, and clamping the target test board through the first clamping mechanism 10, different images can be flexibly collected. For example, the image acquisition unit 5 can capture the end face image of the optical fiber bundle 15 to be tested or the imaging image of the target test board when any of the first light source 1, the second light source 2, and the third light source 3 is turned on, thereby flexibly obtaining different detection parameters of the end face of the optical fiber bundle to be tested, reducing the influence of environmental factors on the detection results, and achieving stable and reliable detection results with high detection efficiency.

[0036] Exemplarily, the lens assembly 7 can be a collection of two or more lenses, such as a first lens element, a second lens element, a third lens element, and a fourth lens element, wherein the first lens element is a plano-convex lens, the second lens element is a doublet, the third lens element is an aspheric lens, and the fourth lens element is a biconvex lens. This lens assembly can focus light passing through the optical fiber bundle, thereby ensuring a clearer image and enabling accurate identification of defects on the end face of the optical fiber bundle.

[0037] Exemplarily, the image acquisition unit 5 is a photoelectric conversion module. In a specific scenario, a CCD camera, a CMOS camera, etc. may be used. The upper limit of brightness thereof may vary according to the specific structure and may be denoted as T.

[0038] like Figure 1 As shown, in a preferred embodiment, the performance testing device for the optical fiber bundle end face further includes a first controller 11 connected to the first clamping mechanism 10 and / or a second controller 9 connected to the second clamping mechanism.

[0039] The first controller 11 is used to move the first clamping mechanism 10 to drive the target test plate to a target position;

[0040] The second controller 9 is used to move the second clamping mechanism to drive the proximal end face of the optical fiber bundle to be tested close to or away from the lens group 7 and drive the distal end face of the optical fiber bundle to be tested close to or away from the target test board to obtain the clearest optical fiber bundle end face image.

[0041] The above embodiment provides a performance testing device for the end face of an optical fiber bundle, which can automatically complete various performance tests of the optical fiber bundle, avoiding errors caused by visual inspection. At the same time, the brightness of each light source can be adjusted to accommodate optical fiber bundles of different lengths and different transmittances.

[0042] Example 2

[0043] Based on the above performance testing device, embodiment 2 of the present invention further provides a performance testing method for an optical fiber bundle end face, such as Figure 2As shown, the following steps are included:

[0044] Step 1: Obtain target performance test requirements;

[0045] Step 2: Analyze the target performance test requirements and generate at least one target test parameter, wherein the target test parameter includes multiple parameters of the end face of the optical fiber bundle to be tested, the imaging circle diameter, the lateral resolution, the cladding diameter, the coating diameter, the defect rate, the light uniformity, and the autofluorescence intensity;

[0046] Step 3: Generate a target test plan corresponding to at least one target test parameter, wherein the target test plan includes one or more combinations of a light source start-up process, a light source brightness adjustment process, a light source position adjustment process, a target test board position adjustment process, and a data processing process;

[0047] Step 4: Initialize the performance test device, control the corresponding light source and / or target test board according to the target test process, and collect the end face image of the optical fiber bundle and / or the imaging image of the target test board through the image acquisition unit, and then perform data processing to generate the corresponding performance test results.

[0048] The technical solution of the above embodiment can automatically complete various performance tests of the optical fiber bundle, avoiding errors caused by visual inspection. At the same time, the brightness of each light source can be adjusted to accommodate optical fiber bundles of different lengths and different transmittances.

[0049] For example, in a preferred embodiment, a variety of performance test requirements can be pre-set according to different application scenarios of the confocal microendoscope, such as different disease diagnosis sites, and corresponding key performance detection parameters and test schemes can be set for each performance test requirement. Then, the target performance test requirement and at least one corresponding target test parameter and target test scheme are obtained according to the instructions input by the user.

[0050] Exemplarily, the above technical solution also includes an initialization step of the performance test device, that is, the state of the performance test device is first restored to the initial state before executing each subsequent target test scheme. In a preferred embodiment, the initialization step specifically includes:

[0051] S001, setting a plurality of illumination levels with increasing illumination for the first light source, the second light source and the third light source respectively. The number of illumination levels for each light source can be the same or different, and is set according to test requirements or test accuracy.

[0052] S002: Setting a plurality of preset positions for each of the first and second clamping mechanisms, and controlling the first and second clamping mechanisms to move to corresponding initial positions. This facilitates subsequent adjustments to the illumination levels and positions of the first, second, and third light sources, as well as the positions of the corresponding clamping mechanisms, either individually or in combination, to achieve the clearest imaging and improve the accuracy of test results.

[0053] In order to improve detection efficiency, a preferred embodiment also includes a scheme merging step. Specifically, when there are multiple target test parameters, the target test scheme corresponding to each target test parameter is obtained and compared. When there is the same light source start-up process or intermediate image processing result, the corresponding test schemes are merged.

[0054] Specifically, when multiple target test parameters have the same light source start-up process, after controlling the light source, all images required for subsequent processing steps are collected, including the end face image of the optical fiber bundle and / or the imaging image of the target test board, and each image is marked and stored in a classified manner according to the acquisition time and test parameters, so as to facilitate direct selection of the corresponding image for processing in subsequent steps and quickly generate the corresponding test results. Exemplarily, in other embodiments, when multiple target test parameters need to use the same intermediate image processing result, the intermediate image processing result is marked according to the result generation time and the target test parameter, and the marking result includes the corresponding multiple target test parameter codes, so that the intermediate image processing result can be directly called in the subsequent steps, avoiding the repetition of certain intermediate steps and further improving the detection efficiency.

[0055] The following describes in detail the test schemes for different test parameters using specific embodiments.

[0056] Example 3

[0057] In this embodiment, the target test parameters are the geometric parameters of the fiber bundle end face, including cladding diameter, coating diameter, cladding non-circularity, imaging area / cladding concentricity, and imaging area / coating concentricity. Specific target test schemes include:

[0058] Step 101 , adjusting the illumination angle and current illumination of a second light source, and acquiring a first end face image of an optical fiber bundle to be inspected, wherein the light emitted by the second light source is obliquely incident on the optical fiber bundle to be inspected at a preset angle and optimal illumination.

[0059] At this time, the first light source and the third light source are both turned off, and the first clamping mechanism does not clamp any test plate. The second light source is set as an illumination light source, and a parallel surface light source, such as an LED light source, can be used. The optical fiber bundle to be detected is a polished optical fiber bundle, the middle of which is the imaging area, which is mirror reflection, and the outer cladding and coating are diffuse reflection. The second light source is adjusted to the optimal illumination and the preset angle. At this time, the light emitted by the second light source is obliquely incident on the optical fiber bundle to be detected, and enters the lens group after diffuse reflection from the cladding and coating of the optical fiber bundle. At this time, the first end face image of the optical fiber bundle to be detected is collected. The pixel value of the middle imaging area of the first end face image is low, while the pixel value of the outer cladding and coating area is high, showing two relatively obvious annular areas.

[0060] Step 102: pre-process the first end face image to generate a second end face image.

[0061] Exemplarily, preprocessing includes smoothing, grayscale processing, and / or sharpening. Specifically, mathematical functions can be used to transform the grayscale values of the original image to enhance image contrast; Gaussian smoothing, average smoothing, and other methods can be used to reduce image noise and details, making the image appear smoother and more uniform; and first-order differential operators can be used to sharpen the image to enhance image edges, etc., to facilitate subsequent image processing steps. The specific processing process is described in the prior art and will not be repeated here.

[0062] Step 103: Calculate the position offset parameter a of each pixel point (i, j) in the second end face image, query a preset mapping table, and obtain the corresponding convolution kernel according to the range of the position offset parameter a. The calculation formula of the position offset parameter a is as follows:

[0063] Wherein, i and j represent the horizontal and vertical coordinates of the pixel respectively, and W and H represent the width and height of the second end surface image respectively.

[0064] For example, when or When , the convolution kernel is:

[0065] [[-1,-1,-1,0,1,1,1],[-1,-1,-1,0,1,1,1],[-1,-1,-1,0,1,1,1],[-1,-1,-1,0,1,1,1],[-1,-1,-1,0,1,1,1],[-1,-1,-1,0,1,1,1],[-1,-1,-1,0,1,1,1]];

[0066] when When , the convolution kernel is:

[0067] [[0,1,1,1,1,1,1],[-1,0,1,1,1,1,1],[-1,-1,0,1,1,1,1],[-1,-1,-1,0,1,1,1],[-1,-1,-1,-1,0,1,1],[-1,-1,-1,-1,-1,0,1],[-1,-1,-1,-1,-1,0,1]];

[0068] when When , the convolution kernel is:

[0069] [[-1,-1,-1,-1,-1,-1,-1],[-1,-1,-1,-1,-1,-1,-1,-1],[-1,-1,-1,-1,-1,-1,-1,-1],[0,0,0,0,0,0,0],[1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1]];

[0070] when When , the convolution kernel is:

[0071] [[1,1,1,1,1,1,0],[1,1,1,1,1,0,-1],[1,1,1,1,0,-1,-1],[1,1,1,0,-1,-1,-1],[1,1,0,-1,-1,-1,-1],[1,0,-1,-1,-1,-1,-1],[0,-1,-1,-1,-1,-1,-1]].

[0072] In step 104, different convolution kernels are used to convolve pixels at different locations in the second end-face image. The absolute value of the convolution result is taken pixel by pixel to generate a gradient map of the second end-face image. As is known to those skilled in the art, a gradient map can highlight areas of an image with rapid grayscale changes. These areas typically correspond to the edges of the fiber end face, such as the boundary between the core and the cladding. It can also enhance local features of the image, making edges clearer. Therefore, by extracting the gradient map, these edges can be more accurately located, resulting in more accurate geometric parameter measurement results.

[0073] Step 105 , performing edge extraction on the gradient image, and performing ellipse fitting and circle fitting on the extracted edge image using a preset ellipse fitting method and a preset circle fitting method, respectively, to obtain ellipse parameters and circle parameters corresponding to the fitted image.

[0074] Specifically, the circular parameters include the center coordinates and diameters of the fitted circles corresponding to the outer edges of the imaging area, the cladding, and the coating layer, respectively; and the elliptical parameters include the major axis and minor axis of the fitted ellipse corresponding to the outer edges of the imaging area, the cladding, and the coating layer, respectively.

[0075] Exemplarily, the Canny edge detection method may be used to perform edge detection on the gradient image to extract the edge image of the coating layer and the edge image of the cladding layer. The specific method is described in the prior art and will not be repeated here.

[0076] Exemplarily, the preset ellipse fitting method and the preset circle fitting method can adopt the Hough method, the least squares method, etc., and fit by selecting qualified boundary points of the ellipse fitting or the circle fitting. Specifically, the Hough transform is applied on the above-mentioned edge map to detect ellipses, and the detection result will obtain three concentric ellipses, and the major axis and minor axis values of these ellipses are extracted respectively. Then, the Hough transform is continued to be applied on the above-mentioned edge map to detect circles, and the detection result will obtain three circles. The center positions of the three circles from the inside to the outside are respectively recorded as C1, C2, and C3, and the diameters are respectively recorded as D1, D2, and D3. The innermost circle 1 is the imaging circle, and the outer circles 2 and 3 are the outer circles of the cladding and the outer circles of the coating, that is, the area between circle 1 and circle 2 is the cladding, and the area between circle 2 and circle 3 is the coating.

[0077] Finally, step 106 is executed to calculate the geometric parameters of the optical fiber bundle to be tested according to the ellipse parameters and the circle parameters.

[0078] For example, in a specific embodiment, the out-of-roundness of the imaging area is calculated as:

[0079]

[0080] Where A1 is the major axis of the innermost ellipse (i.e., the ellipse corresponding to the imaging area), and B1 is the minor axis of the innermost ellipse. In other embodiments, corresponding formulas can also be used to calculate the cladding layer non-circularity, coating layer non-circularity, etc., by simply replacing A1 and B1 with the major axis and minor axis of the cladding layer ellipse and coating layer ellipse, respectively. This is not further described here.

[0081] The concentricity of the coating layer and the imaging area is calculated as: the Euclidean distance between C1 and C3.

[0082] The concentricity of the cladding and the imaging area is calculated as: the Euclidean distance between C1 and C2.

[0083] The above embodiment provides a method for detecting geometric parameters of an optical fiber bundle end face, which uses a second light source and obliquely projects it onto the surface of the cladding and coating layer, forming a peripheral aperture through diffuse reflection, thereby enabling geometric parameter detection of optical fibers with coating layers and cladding layers.

[0084] In a preferred embodiment, the step of testing the geometric parameters further includes a step of adjusting the illumination of the second light source to improve the imaging clarity, specifically:

[0085] Setting the initial illumination level of the second light source to a mid-level;

[0086] Acquire a first end face image of the optical fiber bundle to be inspected, and calculate the actual imaging brightness corresponding to the current illumination level based on the first end face image;

[0087] Determine whether the actual imaging brightness is within a preset brightness range. If so, the current illumination is the optimal illumination. If the actual imaging brightness is higher than the preset brightness range, adjust the current illumination of the second light source to the previous illumination level. If the actual imaging brightness is lower than the preset brightness range, adjust the current illumination of the second light source to the next illumination level, and repeat the above steps until the actual brightness is within the preset brightness range.

[0088] Exemplarily, the actual imaging brightness is one or more of the following: the sum of the pixel values at all pixel positions in the first end-face image, the pixel average of all pixel positions, the sum of the pixel values at the target pixel position, and the pixel average of the target pixel position. Furthermore, the preset brightness range is [0.8*T, 0.95*T], where T is the maximum brightness value of the image acquisition unit that generates the first end-face image.

[0089] Exemplarily, another preferred embodiment further includes a second light source angle adjustment step to further improve imaging clarity, specifically:

[0090] Obtaining geometric parameter values and / or fitting parameter values of the end face of the optical fiber bundle under optimal illumination;

[0091] determining whether the geometric parameter value and / or the fitting parameter value satisfies corresponding preset conditions; if so, maintaining the current oblique angle of the second light source unchanged; if not, adjusting the current oblique angle of the second light source according to the determination result;

[0092] The fitting parameter value includes the number of fitting points corresponding to the outer edge of the cladding and / or the outer edge of the coating layer when performing ellipse fitting or circle fitting using a preset ellipse fitting method or a preset circle fitting method.

[0093] Example 4

[0094] In this embodiment, the target test parameter is the imaging circle diameter or lateral resolution of the fiber bundle end face. The target test scheme includes:

[0095] Step 201: When calculating the imaging circle diameter, the target test plate is selected as a grating plate; when calculating the lateral resolution, the target test plate is selected as a resolution plate, and the grating plate or the resolution plate is clamped and fixed in the first clamping mechanism.

[0096] Step 202: Adjust the third light source to an optimal illumination, and image the grating plate or the resolution plate through the optical fiber bundle to be detected and the lens group to collect a corresponding first imaging image. At this time, the first light source and the second light source are in the off state.

[0097] Step 203 : pre-process and segment the first imaging image, and determine all connected domains in the imaging circle area, the centroid position of each connected domain, and the brightness value of each connected domain in the segmentation result.

[0098] Exemplarily, the preprocessing of this step includes smoothing and inverting the first image to generate a processed image with reduced noise and inverted color values, so as to better analyze, detect, and extract features from subsequent images. Smoothing is mainly done by reducing the noise and details of the image, making the image appear smoother and more uniform, while inverting is done by taking the inverted color value of each pixel in the image, that is, subtracting the current pixel value from the maximum value of the pixel in the image. This processing can highlight the bright areas in the image and make the dark areas more obvious, thereby better observing and extracting details in the image.

[0099] The preprocessed image is then segmented. The watershed algorithm can be used to divide the pixels in the image into different regions, ensuring that the pixels within the same region have similar characteristics. Specifically, the watershed algorithm is a morphologically based algorithm that calculates the gradient of the image to obtain the gradient value of each pixel in the image. This gradient information is then used to segment the image, effectively segmenting the image while also eliminating over-segmentation.

[0100] Then, for the segmentation results, all connected domains and the centroid of each connected domain are found within the imaging circle. A connected domain in this invention is defined as a region formed by adjacent pixels. Each connected domain represents a fiber in the fiber bundle. By identifying connected domains, isolated noise points or non-target areas can be effectively eliminated, focusing on the area most likely to be the fiber core.

[0101] For example, when a connected domain has only one pixel, the brightness value of the connected domain is the pixel value of the pixel. When a connected domain has multiple pixels, the brightness value of the connected domain is the maximum value of the pixel values of all pixels in the connected domain. In this way, the brightness value of all connected domains can be recorded as V k , k=1,2,…,K, K is the total number of connected domains.

[0102] Then, step 204 is executed to perform Delaunay triangulation on the centroids of all connected domains to form multiple Delaunay triangular meshes connecting the centroids of the connected domains. Here, the centroid is the center point of the connected domain. By calculating the average coordinate value of all pixel points in the connected domain, the centroid of the connected domain can be obtained, thereby making the center point of each connected domain more accurate. Delaunay triangulation is a triangle-based segmentation method that can connect the centroids of connected domains to form a Delaunay triangular mesh. This mesh can better describe the geometric shapes and structures in the image, making the segmentation results more accurate and reliable.

[0103] Step 205 : Calculate the distance between each pixel in the first image and at least one vertex in the corresponding Delaunay triangulation mesh, and calculate the reconstructed brightness of the pixel based on the brightness value of the connected domain corresponding to the vertex.

[0104] Exemplarily, if the pixel point is any vertex of a triangular mesh, the reconstructed brightness of the pixel point is the brightness value of the connected domain corresponding to the vertex;

[0105] If the pixel point is on any edge of the Delaunay triangulation mesh, and the vertices of the triangulation mesh corresponding to the edge are k1 and k2 respectively, then the reconstructed brightness of the pixel point is:

[0106]

[0107] If the pixel point is inside any Delaunay triangle mesh, and the corresponding vertices of the triangle mesh are k1, k2, and k3 respectively, then the reconstructed brightness of the pixel point is:

[0108]

[0109] Among them, i and j are pixel coordinates, are the brightness of the connected domain corresponding to vertices k1, k2, and k3 respectively; d1, d2, and d3 are the distances between the pixel point and the vertices k1, k2, and k3 respectively.

[0110] Step 206 : generating a second imaging image of the grating plate or the resolution plate according to the reconstructed brightness of all pixels, so as to generate an imaging circle diameter or a lateral resolution of the optical fiber bundle to be inspected.

[0111] For example, when a grating plate is selected as the target test plate, the optical axis of the fiber optic bundle to be tested needs to be perpendicular to the grating plate so as to image the grating plate. Then, the imaging result is brightness processed and all grating lines are extracted as line segments. Circle fitting is performed based on all line segments. The diameter of the fitted circle is the imaging circle diameter of the fiber optic bundle to be tested. Of course, the number of grating stripes and specification parameters can be obtained based on the imaging results to calculate the field of view of the fiber optic bundle. I will not go into details here.

[0112] For example, when resolution measurement is required, the target test board is set as the resolution board, and the optical axis of the optical fiber bundle to be tested is made perpendicular to the resolution board, so that the resolution board is imaged, and a lateral resolution image is obtained after processing. The lateral resolution of the optical fiber bundle to be tested can be obtained by directly reading the lateral resolution image.

[0113] In a preferred embodiment, after the target test board is fixed in the first clamping mechanism, the third light source may be adjusted to an optimal illumination, which may include but is not limited to the following steps:

[0114] Moving the first clamping mechanism to an initial position, where the initial position may be set in an initialization step;

[0115] Setting the initial illumination of the third light source to an intermediate level corresponding to the target test board. In a specific embodiment, different intermediate illumination levels may be set for different ambient lights or different test boards.

[0116] Acquire a first imaging image of the target test plate, and calculate the actual brightness of the light source imaging corresponding to the current illumination level based on the first imaging image;

[0117] Determine whether the actual brightness is within a preset brightness range. If so, the current illumination is the optimal illumination. If the actual brightness is higher than the preset brightness range, adjust the current illumination of the third light source to the previous illumination level. If the actual brightness is lower than the preset brightness range, adjust the current illumination of the third light source to the next illumination level, and repeat the above steps until the actual brightness is within the preset brightness range.

[0118] Exemplarily, the actual imaging brightness is one or more of the following: the sum of pixel values at all pixel positions in the first image, the average pixel value at all pixel positions, the sum of pixel values at the target pixel position, and the average pixel value at the target pixel position. Furthermore, the preset brightness range is [0.8*T, 0.95*T], where T is the maximum brightness value of the image acquisition unit that generates the first image.

[0119] Example 5

[0120] In this embodiment, the cladding diameter and / or coating diameter of the optical fiber bundle end face can be calculated based on the calculation results of the above two embodiments. The specific test plan is as follows:

[0121] Step 301: Turn on the second light source while the first and third light sources are turned off. The light emitted by the second light source is controlled to be incident obliquely on the optical fiber bundle to be inspected at a preset angle and optimal illumination. A first end face image of the optical fiber bundle to be inspected is collected. After processing the first end face image, circular fitting parameters of the optical fiber bundle to be inspected are generated. The circular fitting parameters include fitting diameters corresponding to the outer edge of the imaging area, the outer edge of the cladding, and the outer edge of the coating, as shown in steps 102-105 above.

[0122] In step 302, after fixing the grating plate on the first clamping mechanism, the second light source is turned off and the third light source is turned on. At this time, the first light source is also turned off. The current illumination of the third light source is adjusted to the optimal illumination and the first imaging image of the grating plate is collected. After processing the first imaging image, the imaging circle diameter of the optical fiber bundle to be detected is generated, as shown in the above steps 203-206.

[0123] Step 303: Calculate the cladding diameter and / or coating diameter of the optical fiber bundle end face according to the imaging circle diameter and the circular fitting parameters.

[0124] For example, in one embodiment, the cladding diameter is calculated as:

[0125]

[0126] The coating diameter is calculated as:

[0127]

[0128] Among them, D1, D2, and D3 are the fitting diameters corresponding to the outer edges of the imaging area, cladding, and coating, respectively. A is the imaging circle diameter. D2' and D3' are the cladding diameter and coating diameter of the fiber bundle end face, respectively. This allows for more accurate diameter calculation results and reduces detection errors.

[0129] Example 6

[0130] In this embodiment, the target test parameter is the defect rate of the optical fiber bundle end face. The target test scheme includes:

[0131] Step 401: Control a first light source and a third light source to sequentially illuminate the optical fiber bundle to be tested, with the light from the first light source entering from the proximal end of the optical fiber bundle to be tested and the light from the third light source entering from the distal end of the optical fiber bundle to be tested. The brightness of the first light source is greater than that of the third light source.

[0132] Step 402, collecting a third end face image of the optical fiber bundle to be inspected when the first light source is turned on and a fourth end face image corresponding to when the third light source is turned on;

[0133] Step 403: extract the first brightness value of each connected domain in the third end face image and the second brightness value of the corresponding connected domain in the fourth end face image, and generate a defect judgment result for each connected domain based on the brightness ratio of the second brightness value to the first brightness value.

[0134] Exemplarily, in a preferred embodiment, generating a defect determination result for each connected domain specifically includes the following steps:

[0135] Extract the first brightness value of each connected domain in the third end surface image and the second brightness value of the corresponding connected domain in the fourth end surface image, and record the first brightness value as The second brightness value is recorded as Wherein K represents the number of connected domains corresponding to the optical fiber bundle to be detected;

[0136] Calculate the second brightness value of each connected component With the first brightness value The brightness ratio of k , k=1,2,…,K;

[0137] To {r k ,k=1,2,…,K} is fitted according to Gaussian distribution to generate Gaussian function parameters u1 and σ1;

[0138] When the brightness ratio r of any connected domain k ≥u1-3σ1, the connected domain is determined to be in a non-defective state and the corresponding connected domain is marked as good; otherwise, the connected domain is determined to be in a defective state and the corresponding connected domain is marked as bad. Of course, in other embodiments, other character strings can also be used for marking.

[0139] Then, step 404 is executed to mark all connected domains in the fourth end face image according to the defect determination result, count the number of each preset defect type according to the marking result, and generate the defect rate of the optical fiber bundle end face.

[0140] For example, in a preferred embodiment, step 404 counts the number of preset defect types based on the marking results and generates the defect rate of the optical fiber bundle end face, specifically:

[0141] Perform Delaunay triangulation on the centroids of all connected domains in the fourth end-face image, and mark the connected domains with defects as bad and the connected domains without defects as good;

[0142] Check the connected domains marked as bad. If the centroid of any connected domain marked as bad is directly connected to the centroids of a preset number of other bad connected domains in the Delaunay triangulation result, mark the centroids of all connected connected domains as worse.

[0143] Count the number of connected domain centroids marked as bad, recorded as N1, and count the number of connected domain centroids marked as worse, recorded as N2. Calculate the defect rate as:

[0144] Wherein K represents the total number of connected domains in the second end surface image.

[0145] Specifically, a single bad connected domain represents a black spot on the fiber end face. For example, the number of connected bad connected domain centroids can be determined based on a preset defect type, such as a defect pattern that is prone to appearing in a fiber end face image. For example, in the case of a plum blossom, the number can be set to six. That is, if the centroid of any connected domain marked as bad is directly connected to the centroids of six other bad connected domains in the Delaunay triangulation result, the centroids of all connected connected domains are marked as bad. The preset number here can be set to one or more, thereby representing different defect pattern types.

[0146] In other embodiments, the defect rates of different defect types can be calculated separately. For example, N1 / K can be calculated, which is the ratio of individual black spots. Each defect pattern, such as each plum blossom spot, can also be associated with a different label. For example, if the centroid of a connected domain labeled "bad" is directly connected to the centroids of six other "bad" connected domains in the Delaunay triangulation result, the centroids of these connected connected domains are labeled "worse1," and the others are labeled "worse2," "worse3," and so on. By counting the number of "worse" patterns, the defect rate of the plum blossom spot can be obtained.

[0147] In a preferred embodiment, if there are certain target connected domains in the first state that are not independent, and the number of centroids of connected domains is less than or greater than any preset number, the target connected domain and other connected connected domains are marked as a whole, such as color marking, and an early warning signal is generated to facilitate manual confirmation and further improve the accuracy of defect rate detection.

[0148] Exemplarily, a preferred embodiment further includes a binarization step, specifically: establishing a binary image of the same size as the second end face image, initializing all pixel values of the binary image to 1, and if any connected domain in the defect judgment result is in a non-defective state, assigning the pixel value of the centroid position of the corresponding connected domain to 0, otherwise keeping the current pixel value unchanged, and then performing subsequent step 404 based on the binary image to obtain the defect rate result.

[0149] Exemplarily, a preferred embodiment further includes a denoising step, specifically: segmenting the binary image after assignment, determining all connected domains and performing Delaunay triangulation, calculating the median of the side lengths of all Delaunay triangles in the Delaunay triangulation result, recorded as el; using a disk structure to perform an erosion operation on the binary image to generate an optimized image, the radius of the disk structure is 0.75*el, and then performing subsequent step 404 based on the optimized image to obtain a more accurate defect rate result.

[0150] In the above embodiment, similar steps can also be used to adjust the brightness and position of the first light source and the third light source to obtain a clearer image of the optical fiber end face, which will not be repeated here.

[0151] Example 7

[0152] In this embodiment, the target test parameter is the uniformity of light transmission of the optical fiber bundle. The target test scheme includes:

[0153] Step 501: Control the first light source and the third light source to sequentially illuminate the optical fiber bundle to be detected, wherein the light of the first light source is emitted from the proximal end of the optical fiber bundle to be detected, and the light of the third light source is emitted from the distal end of the optical fiber bundle to be detected, and the brightness of the first light source is greater than that of the third light source.

[0154] Step 502 : collecting a third end face image of the optical fiber bundle to be inspected when the first light source is turned on and a corresponding fourth end face image when the third light source is turned on.

[0155] Step 503 extracts the first brightness value of each connected domain in the third end-face image and the second brightness value of the corresponding connected domain in the fourth end-face image. A defect determination result for each connected domain is generated based on the brightness ratio of the second brightness value to the first brightness value. The specific determination process is as described in the above embodiment and will not be repeated here.

[0156] Step 504 , obtaining target connected domain information of non-defective state in the defect determination result, extracting brightness values of all target connected domains in the fourth end face image, and calculating standard deviation as current light uniformity of the optical fiber bundle to be inspected.

[0157] Step 505 : Compare the current light transmission uniformity with a reference threshold, and generate a light transmission uniformity detection result of the optical fiber bundle to be detected according to the comparison result.

[0158] Specifically, when any connected domain has only one pixel, the brightness value of the connected domain is the pixel value of the corresponding pixel; when any connected domain has multiple pixels, the brightness value of the connected domain is the maximum value of the pixel values of all pixels. This not only simplifies the calculation process, but also highlights the brightness characteristics of the fiber core in the optical fiber bundle and reduces the impact of noise.

[0159] In a preferred embodiment, the light transmission uniformity detection method further includes the following steps: based on the detection parameters of the optical fiber bundle to be detected and querying the preset mapping table, a corresponding reference threshold is generated. Specifically, the standard deviation can measure the discrete degree of the brightness values of all non-defective connected domains in the optical fiber bundle to be detected, that is, the difference between the brightness values of different connected domains. The larger the standard deviation of the brightness value, the more dispersed the distribution of the brightness values of these connected domains, that is, the greater the difference in brightness values, and the worse the light transmission uniformity; conversely, the smaller the standard deviation, the more concentrated the distribution of brightness values, that is, the smaller the difference in brightness values, and the better the light transmission uniformity. For example, a threshold value s can be set based on an empirical value. th , if the standard deviation s calculated in step 3 is ≤ s th , then the light uniformity is good, otherwise the light uniformity is poor. In a more preferred embodiment, historical light uniformity detection data of optical fiber bundles with different processes and structures can also be collected, and a preset mapping table can be established based on the historical data. The preset mapping table can reflect the preset reference thresholds corresponding to different detection parameters under the current detection method, thereby improving the detection accuracy. Exemplarily, the detection parameters include the length, transmittance, curvature, preparation process (including materials, process parameters) of the optical fiber bundle to be detected and / or the environmental parameters of the optical fiber bundle detection, such as the light source type and power of the first light source and the second light source, etc., one or more of them can be selected to calculate the corresponding influencing factors, and the preset threshold s can be calculated based on the influencing factors. th Make adjustments and take comprehensive considerations.

[0160] Exemplarily, in a preferred embodiment, the method further includes a brightness-position combined adjustment step of the first light source, i.e., adjusting the end face of the optical fiber bundle to be detected to an optimal position relative to the lens assembly, and controlling the first light source to illuminate the optical fiber bundle to be detected with optimal illumination, specifically:

[0161] The first light source is configured with a plurality of illumination levels with successively increasing illumination intensities, and the optical fiber bundle to be inspected is configured with a plurality of preset positions with successively increasing distances relative to the lens group;

[0162] Setting the initial illumination of the first light source to a middle level, and moving the optical fiber bundle to be inspected to a middle position;

[0163] Acquire a first end-face image of the optical fiber bundle to be inspected under illumination by the first light source, calculate the actual brightness of the first end-face image, determine whether the actual brightness is within a preset brightness range, and if so, calculate the focus of the first end-face image and execute the next step; if not, adjust the current illumination level of the first light source according to the determination result until the actual brightness is within the preset brightness range;

[0164] Keeping the current illumination of the first light source unchanged, the optical fiber bundle to be tested is moved to the next preset position, and then the first end face image is captured again to obtain the focus. It is determined whether the change in the focus between two adjacent times is less than a preset threshold. If so, the next step is executed. If not, the current position of the optical fiber bundle to be tested is adjusted according to the determination result, and the process returns to the previous step.

[0165] Keeping the current illumination of the first light source and the current position of the optical fiber bundle to be detected unchanged, collect the first end face image again and calculate the actual brightness. If the actual brightness is within the preset brightness range, the current illumination is the optimal illumination and the current position is the optimal position, thereby obtaining the clearest optical fiber end face image.

[0166] Example 8

[0167] In this embodiment, the target test parameter is the autofluorescence brightness of the optical fiber bundle. In this case, the target test scheme includes the following steps:

[0168] Step 601: Control the first light source and the third light source to sequentially illuminate the optical fiber bundle to be detected, with the light of the first light source entering from the proximal end of the optical fiber bundle to be detected and the light of the third light source entering from the distal end of the optical fiber bundle to be detected. The brightness of the first light source is greater than that of the third light source.

[0169] Step 602 : Acquire a third end face image of the optical fiber bundle to be inspected when the first light source is turned on and a fourth end face image corresponding to when the third light source is turned on.

[0170] Step 603 extracts the first brightness value of each connected domain in the third end-face image and the second brightness value of the corresponding connected domain in the fourth end-face image. A defect determination result for each connected domain is generated based on the brightness ratio of the second brightness value to the first brightness value. The specific determination process is as described in the above embodiment and will not be repeated here.

[0171] Step 604: configure the first light source with a plurality of illumination levels of increasing illumination in sequence, and collect the fifth end face image of the optical fiber bundle to be inspected at each illumination level, denoted as S n , n=1,2,…,N, N is the number of illumination levels;

[0172] Step 605: Obtain the target connected domain information of the non-defective state in the defect determination result, and extract the fifth end face image S corresponding to each illumination level. n The brightness values of all target connected domains in Where M is the number of target connected domains;

[0173] Step 606: Calculate the average brightness aVS of all target connected domains at each illumination level. n , and screen out multiple target brightness means according to preset conditions;

[0174] In step 607, each target brightness mean is associated with the corresponding optical power to establish an association set, and a preset method, such as the least squares method or the total least squares method, is used to fit the data of the association set to generate a curve showing the change of the spontaneous fluorescence brightness corresponding to the optical fiber bundle to be detected with the optical power.

[0175] For example, in one embodiment, the preset condition is: the average brightness value aVS corresponding to the nth illumination level n Not greater than 0.9*T, where T is the maximum brightness value of the image acquisition unit that generates the end face image. In a more preferred embodiment, the above steps further include:

[0176] Setting a first weight for the initial data of the association set;

[0177] When the number of brightness averages that meet the preset condition is less than the preset threshold, the preset condition is adjusted to aVS n After the value is no greater than 0.95*T, perform data screening again;

[0178] A second weight is set for the newly added data of the association set according to the screening result, where the second weight is smaller than the first weight, so as to perform curve fitting based on the updated association set.

[0179] Exemplarily, in step 604 , a detection level is generated according to the target detection accuracy and / or the target detection efficiency, and the number of illumination levels is generated according to the detection level.

[0180] In a preferred embodiment, a curve showing the variation of the autofluorescence brightness of the optical fiber bundle to be detected with the optical power is queried to obtain the predicted autofluorescence brightness of the optical fiber bundle to be detected under the current optical power, and a target concentration range of the fluorescent contrast agent is generated based on the predicted autofluorescence brightness.

[0181] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0182] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the above-mentioned method for testing the performance of an optical fiber bundle end face is implemented.

[0183] Example 9

[0184] Figure 3 The following is a schematic diagram of the structure of an image processing unit in a performance testing device provided by an embodiment, wherein the image processing unit executes the steps of the performance testing method of the optical fiber bundle end face described in any of the above embodiments. Figure 3 As shown, the image processing unit specifically includes:

[0185] An acquisition unit 100 is used to acquire target performance test requirements;

[0186] The parsing unit 200 parses the target performance test requirement and generates at least one target test parameter;

[0187] A scheme generating unit 300 generates a target test scheme corresponding to at least one target test parameter, wherein the target test scheme includes one or more combinations of a light source start-up process, a light source brightness adjustment process, a light source position adjustment process, a target test board position adjustment process, and a data processing process;

[0188] The test result generating unit 400 initializes the performance testing device, controls the corresponding light source and / or target test board according to the target test process, and performs data processing after collecting the end face image of the optical fiber bundle and / or the imaging image of the target test board through the image acquisition unit to generate the corresponding performance test result.

[0189] The above embodiment provides a performance testing device for the end face of an optical fiber bundle, which can automatically complete various performance tests of the optical fiber bundle, avoiding errors caused by visual inspection. At the same time, the brightness of each light source can be adjusted to accommodate optical fiber bundles of different lengths and different transmittances.

[0190] For example, Figure 1 As shown, in a preferred embodiment, the performance testing device for the end face of the optical fiber bundle further includes a display device 13 and a storage medium 14 connected to the image processing unit 4, wherein the display device 13 is used to display the imaging processing image of each step and the corresponding test results, and the storage medium 14 is used to store the imaging processing image and the test results.

[0191] It should be noted that the above explanations of the embodiment of the method for testing the end face of an optical fiber bundle are also applicable to the performance testing device and equipment for the end face of an optical fiber bundle in the above embodiment, and will not be repeated here.

[0192] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0193] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0194] Those skilled in the art will appreciate that the units and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0195] In the embodiments provided by the present invention, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are merely illustrative. For example, the division of the modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0196] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0197] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0198] The present invention is not limited to what is described in the specification and embodiments, and additional advantages and modifications will be readily apparent to those skilled in the art. Therefore, the present invention is not limited to the specific details, representative devices, and illustrative examples shown and described herein without departing from the spirit and scope of the general concept defined by the claims and their equivalents.

Claims

1. A performance testing device for an optical fiber bundle end face, characterized in that: The device comprises a first light source (1), a second light source (2), a third light source (3), a first clamping mechanism (10) for clamping a target test plate, a second clamping mechanism for clamping a fiber bundle to be tested (15), a lens group (7), a dichroic mirror (6), and an image acquisition unit (5). The first light source (1) is arranged above the dichroic mirror (6), and the light source light of the first light source (1) is reflected by the dichroic mirror (6) and focused by the lens group (7) before entering the proximal end of the optical fiber bundle (15) to be detected; The second light source (2) is arranged obliquely above the optical fiber bundle (15) to be detected, and the light source light emitted by the second light source (2) is obliquely incident on the optical fiber bundle (15) to be detected at a preset angle, and enters the lens group (7) after diffuse reflection by the cladding and coating layer of the optical fiber bundle (15) to be detected, and is focused by the lens group (7) and then transmitted through the dichroic mirror (6); The third light source (3) is arranged at the distal end of the optical fiber bundle (15) to be detected, and the light source light of the second light source (3) is injected from the distal end of the optical fiber bundle (15) to be detected and emitted from the proximal end, and then is focused by the lens group (7) and transmitted through the dichroic mirror (6); The image acquisition unit (5) is used to acquire an end face image of the optical fiber bundle (15) to be detected or an imaging image of the target test board when any one of the first light source (1), the second light source (2) and the third light source (3) is turned on.

2. The performance testing device for the end face of an optical fiber bundle according to claim 1, characterized in that: It also includes a first controller (11) connected to the first clamping mechanism (10) and / or a second controller (9) connected to the second clamping mechanism, The first controller (11) is used to move the first clamping mechanism (10) to drive the target test plate to a target position; The second controller (9) is used to move the second clamping mechanism to drive the proximal end surface of the optical fiber bundle to be detected to approach or move away from the lens group (7) and to drive the distal end surface of the optical fiber bundle to be detected to approach or move away from the target test board.

3. A method for testing the performance of an optical fiber bundle end face, based on the device according to claim 1 or 2, characterized in that: The following steps are involved: Step 1: Obtain target performance test requirements; Step 2: parse the target performance test requirement and generate at least one target test parameter; Step 3: Generate a target test plan corresponding to at least one target test parameter, wherein the target test plan includes one or more combinations of a light source start-up process, a light source brightness adjustment process, a light source position adjustment process, a target test board position adjustment process, and a data processing process; Step 4: Initialize the performance test device, control the corresponding light source and / or target test board according to the target test process, and collect the end face image of the optical fiber bundle and / or the imaging image of the target test board through the image acquisition unit, perform data processing, and generate corresponding performance test results; The target test parameters include multiple ones of the geometric parameters of the end face of the optical fiber bundle to be tested, the imaging circle diameter, the lateral resolution, the cladding diameter, the coating diameter, the defect rate, the light uniformity, and the autofluorescence intensity.

4. The method for testing the performance of an optical fiber bundle end face according to claim 3, wherein: When the target test parameter is a geometric parameter of the optical fiber bundle end face, the target test scheme includes: Step 101: adjusting the illumination angle and current illumination of a second light source and acquiring a first end face image of the optical fiber bundle to be inspected, wherein the light emitted by the second light source is obliquely incident on the optical fiber bundle to be inspected at a preset angle and optimal illumination; Step 102: pre-processing the first end face image to generate a second end face image; Step 103: Calculate the position offset parameter a of each pixel point (i, j) in the second end face image, query a preset mapping table, and obtain the corresponding convolution kernel according to the range of the position offset parameter a. The calculation formula of the position offset parameter a is as follows: Where i and j represent the horizontal and vertical coordinates of the pixel respectively, and W and H represent the width and height of the second end surface image respectively; Step 104: performing convolution operations on pixels at different pixel positions in the second end-face image using different convolution kernels, and taking the absolute value of the convolution results pixel by pixel to generate a gradient map of the second end-face image; Step 105: performing edge extraction on the gradient image, and performing ellipse fitting and circle fitting on the extracted edge image using a preset ellipse fitting method and a preset circle fitting method, respectively, to obtain ellipse parameters and circle parameters corresponding to the fitted image; Step 106: Calculate geometric parameters of the optical fiber bundle to be inspected based on the ellipse parameters and the circular parameters, wherein the geometric parameters include at least one of imaging area non-circularity, cladding non-circularity, coating non-circularity, imaging area / cladding concentricity, and imaging area / coating concentricity.

5. The method for testing the performance of an optical fiber bundle end face according to claim 3, wherein: When the target test parameter is the imaging circle diameter or the lateral resolution, the target test solution includes: Step 201: When calculating the imaging circle diameter, a grating plate is selected as the target test plate; when calculating the lateral resolution, a resolution plate is selected as the target test plate, and the grating plate or the resolution plate is clamped and fixed in the first clamping mechanism; Step 202: Adjust the third light source to an optimal illumination, and image the grating plate or the resolution plate through the optical fiber bundle to be detected and the lens group to collect a corresponding first imaging image; Step 203: preprocess and segment the first imaging image, and determine all connected domains in the imaging circle area, the centroid position of each connected domain, and the brightness value of each connected domain in the segmentation result; Step 204: performing Delaunay triangulation on all connected domain centroids to form multiple Delaunay triangulated meshes connecting the connected domain centroids. Step 205 , calculating the distance between each pixel in the first image and at least one vertex in the corresponding Delaunay triangulation mesh, and calculating the reconstructed brightness of the pixel based on the brightness value of the connected domain corresponding to the vertex; Step 206 : generating a second imaging image of the grating plate or the resolution plate according to the reconstructed brightness of all pixels, so as to generate an imaging circle diameter or a lateral resolution of the optical fiber bundle to be inspected.

6. The method for testing the performance of an optical fiber bundle end face according to claim 4 or 5, characterized in that: When the target test parameter is the cladding diameter and / or coating diameter, the target test solution includes: Step 301: Turn on a second light source and control the light emitted by the second light source to obliquely enter the optical fiber bundle to be inspected at a preset angle and optimal illumination, collect a first end face image of the optical fiber bundle to be inspected, and generate circular fitting parameters of the optical fiber bundle to be inspected after processing the first end face image. The circular fitting parameters include fitting diameters corresponding to the outer edge of the imaging area, the outer edge of the cladding, and the outer edge of the coating layer. Step 302: After the grating plate is fixed to the first clamping mechanism, the second light source is turned off and the third light source is turned on. The current illumination of the third light source is adjusted to an optimal illumination, and a first imaging image of the grating plate is captured. The first imaging image is processed to generate an imaging circle diameter of the optical fiber bundle to be inspected. Step 303: Calculate the cladding diameter and / or coating diameter of the optical fiber bundle end face according to the imaging circle diameter and the circular fitting parameters.

7. The method for testing the performance of an optical fiber bundle end face according to claim 3, wherein: When the target test parameter is the defect rate of the optical fiber bundle end face, the target test scheme includes: Step 401: Control a first light source and a third light source to sequentially illuminate the optical fiber bundle to be tested, with the light from the first light source entering from the proximal end of the optical fiber bundle to be tested and the light from the third light source entering from the distal end of the optical fiber bundle to be tested. The brightness of the first light source is greater than that of the third light source. Step 402, collecting a third end face image of the optical fiber bundle to be inspected when the first light source is turned on and a fourth end face image corresponding to when the third light source is turned on; Step 403: extracting a first brightness value of each connected domain in the third end face image and a second brightness value of the corresponding connected domain in the fourth end face image, and generating a defect determination result for each connected domain based on a brightness ratio between the second brightness value and the first brightness value; Step 404 : Mark all connected domains in the fourth end face image according to the defect determination result, count the number of each preset defect type according to the marking result, and generate the defect rate of the optical fiber bundle end face.

8. The method for testing the performance of an optical fiber bundle end face according to claim 3, wherein: When the target test parameter is light uniformity, the target test solution includes: Step 501: Control a first light source and a third light source to sequentially illuminate the optical fiber bundle to be tested, with the light from the first light source entering from the proximal end of the optical fiber bundle to be tested and the light from the third light source entering from the distal end of the optical fiber bundle to be tested. The brightness of the first light source is greater than that of the third light source. Step 502, collecting a third end face image of the optical fiber bundle to be inspected when the first light source is turned on and a fourth end face image corresponding to when the third light source is turned on; Step 503: extracting a first brightness value of each connected domain in the third end face image and a second brightness value of the corresponding connected domain in the fourth end face image, and generating a defect determination result for each connected domain based on a brightness ratio between the second brightness value and the first brightness value; Step 504: obtaining target connected domain information of a non-defective state in the defect determination result, extracting brightness values of all target connected domains in the fourth end face image, and calculating the standard deviation as the current light uniformity of the optical fiber bundle to be inspected; Step 505 : Compare the current light transmission uniformity with a reference threshold, and generate a light transmission uniformity detection result of the optical fiber bundle to be detected according to the comparison result.

9. The method for testing the performance of an optical fiber bundle end face according to claim 3, wherein: When the target test parameter is autofluorescence brightness, the target test scheme includes: Step 601: Control a first light source and a third light source to sequentially illuminate the optical fiber bundle to be tested, with the light from the first light source entering from the proximal end of the optical fiber bundle to be tested and the light from the third light source entering from the distal end of the optical fiber bundle to be tested. The brightness of the first light source is greater than that of the third light source. Step 602, collecting a third end face image of the optical fiber bundle to be inspected when the first light source is turned on and a fourth end face image corresponding to when the third light source is turned on; Step 603: extracting a first brightness value of each connected domain in the third end face image and a second brightness value of the corresponding connected domain in the fourth end face image, and generating a defect determination result for each connected domain based on a brightness ratio between the second brightness value and the first brightness value; Step 604: configure the first light source with a plurality of illumination levels of increasing illumination in sequence, and collect the fifth end face image of the optical fiber bundle to be inspected at each illumination level, denoted as S n , n=1,2,…,N, N is the number of illumination levels; Step 605: Obtain the target connected domain information of the non-defective state in the defect determination result, and extract the fifth end face image S corresponding to each illumination level. n The brightness values of all target connected domains in Where M is the number of target connected domains; Step 606: Calculate the average brightness aVS of all target connected domains at each illumination level. n , and screen out multiple target brightness means according to preset conditions; Step 607 , associate each target brightness mean with the corresponding optical power to establish an association set, and fit the data of the association set using a preset method to generate a curve of the autofluorescence brightness corresponding to the optical fiber bundle to be detected versus optical power.

10. A performance testing device for an optical fiber bundle end face, comprising an image processing unit, wherein the image processing unit executes the performance testing method for an optical fiber bundle end face according to any one of claims 3 to 9.

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