Method and apparatus for detecting surface treatment quality of polyimide

Abstract

The application provides a polyimide surface treatment quality detection method and device, the method comprises the following steps: collecting the image of the transmission area on the background surface, wherein the light of the preset light source is transmitted through the polyimide material to be detected and irradiated on the background surface to form a transmission area; analyzing the image of the transmission area on the background surface to determine whether there is a dark area in the transmission area; when there is a dark area in the transmission area, taking the first surface of the polyimide material to be detected as the focal plane, collecting the image of the polyimide material to be detected to obtain a first image, and taking the second surface of the polyimide material to be detected as the focal plane, collecting the image of the polyimide material to be detected to obtain a second image; respectively segmenting out the first image block corresponding to the dark area in the first image and the second image block corresponding to the dark area in the second image; comparing the quality of the first image block and the second image block to determine the plane where the residual grease on the polyimide material to be detected is located.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computer vision, in particular to a polyimide surface treatment quality detection method and device. BACKGROUND

[0002] The surface treatment process of a polyimide film or polyimide sheet includes degreasing, roughening, plating, oxidation, etc. The quality of degreasing determines the quality of subsequent processes, especially the film plating process. If there is residual oil on the surface of the polyimide, it will seriously affect the adhesion and flatness of the plated film. Therefore, it is necessary to add a detection step in the degreasing process to detect whether there is residual oil. If there is, further cleaning of the residual oil area can be performed by means of pressurized fluid injection, etc.

[0003] Currently, the detection of residual oil on the polyimide can be performed by using common foreign matter detection technologies such as X-ray detection and machine vision detection. The cost of X-ray detection is relatively high, and the machine vision detection generally uses complex image processing and recognition algorithms. For continuously moving strips or sequentially moving sheets, images need to be continuously captured and analyzed, which not only requires high processor computing power, but also is difficult to meet the real-time requirement. In addition, the current machine vision detection technology cannot distinguish the surface where the oil is located, so it is difficult to clean the surface where the oil is located. SUMMARY

[0004] To solve the above technical problems, the present application provides a polyimide surface treatment quality detection method and device, which can conveniently and accurately detect residual oil on the surface of the polyimide and determine the surface where the oil is located, thereby facilitating the effective removal of the residual oil, and has low cost and good real-time performance.

[0005] The technical solutions adopted by the present application are as follows:

[0006] A polyimide surface treatment quality detection method comprises the following steps: capturing an image of a transmission area on a background surface, wherein the light of a preset light source is transmitted through a polyimide material to be detected and irradiated onto the background surface to form the transmission area; analyzing the image of the transmission area on the background surface to determine whether a dark area exists in the transmission area; when the dark area exists in the transmission area, capturing an image of the polyimide material to be detected with a first surface of the polyimide material to be detected as a focal plane to obtain a first image, and capturing an image of the polyimide material to be detected with a second surface of the polyimide material to be detected as a focal plane to obtain a second image; respectively segmenting a first image block corresponding to the dark area in the first image and a second image block corresponding to the dark area in the second image; and comparing the quality of the first image block and the second image block to determine the plane where the residual oil on the polyimide material to be detected is located.

[0007] The image of the transmission area on the background surface is processed by gray scale, and it is judged whether there is a connected region with gray scale values in a preset gray scale range, and if there is, the connected region is determined as the dark area.

[0008] The quality of the first image block and the second image block is compared to determine the plane where the residual oil on the polyimide material to be detected is located, specifically including: calculating the sharpness index of the first image block and the second image block respectively, and comparing the sizes; if the sharpness index of the first image block is greater than the sharpness index of the second image block, it is determined that the residual oil on the polyimide material to be detected is on the first plane; if the sharpness index of the first image block is less than the sharpness index of the second image block, it is determined that the residual oil on the polyimide material to be detected is on the second plane.

[0009] The quality of the first image block and the second image block is compared to determine the plane where the residual oil on the polyimide material to be detected is located, specifically including: low-pass filtering the first image block to obtain a first filtered image block; low-pass filtering the second image block to obtain a second filtered image block; calculating the SSIM (Structural Similarity) of the first image block and the first filtered image block to obtain a first SSIM value; calculating the SSIM of the second image block and the second filtered image block to obtain a second SSIM value; comparing the sizes of the first SSIM value and the second SSIM value; if the first SSIM value is greater than the second SSIM value, it is determined that the residual oil on the polyimide material to be detected is on the second plane; if the first SSIM value is less than the second SSIM value, it is determined that the residual oil on the polyimide material to be detected is on the first plane.

[0010] The focal plane is switched to the first plane or the second plane by controlling the camera zoom.

[0011] The application discloses a surface treatment quality detection device for polyimide, which comprises a first acquisition module, a first analysis module, a second acquisition module, a segmentation module and a second analysis module.The first acquisition module is used for acquiring an image of a transmission area on a background surface, wherein light of a preset light source is transmitted through a polyimide material to be detected and irradiated on the background surface to form the transmission area.The first analysis module is used for analyzing the image of the transmission area on the background surface to determine whether a dark area exists in the transmission area.The second acquisition module is used for acquiring an image of the polyimide material to be detected with a first surface of the polyimide material to be detected as a focal plane to obtain a first image, and acquiring an image of the polyimide material to be detected with a second surface of the polyimide material to be detected as a focal plane to obtain a second image.The segmentation module is used for segmenting a first image block corresponding to the dark area in the first image and a second image block corresponding to the dark area in the second image.The second analysis module is used for comparing the quality of the first image block and the second image block to determine a plane where grease remains on the polyimide material to be detected.

[0012] The first analysis module performs gray scale processing on the image of the transmission area on the background surface, and determines whether a connected region with gray scale values all in a preset gray scale range exists, and if so, determines that the connected region is the dark area.

[0013] The second analysis module is specifically used for calculating the definition indexes of the first image block and the second image block respectively, and comparing the definition indexes, if the definition index of the first image block is greater than the definition index of the second image block, it is determined that the grease remains on the first surface of the polyimide material to be detected, and if the definition index of the first image block is less than the definition index of the second image block, it is determined that the grease remains on the second surface of the polyimide material to be detected.

[0014] The second analysis module is specifically used for performing low-pass filtering on the first image block to obtain a first filtered image block, performing low-pass filtering on the second image block to obtain a second filtered image block, calculating the SSIM of the first image block and the first filtered image block to obtain a first SSIM value, calculating the SSIM of the second image block and the second filtered image block to obtain a second SSIM value, and comparing the first SSIM value and the second SSIM value, if the first SSIM value is greater than the second SSIM value, it is determined that the grease remains on the second surface of the polyimide material to be detected, and if the first SSIM value is less than the second SSIM value, it is determined that the grease remains on the first surface of the polyimide material to be detected.

[0015] The second acquisition module switches the focal plane to the first plane or the second plane by controlling the zoom of the camera.

[0016] Advantages of the present application:

[0017] The present application first obtains a dark area through image analysis of transmitted light, then acquires two images of the polyimide material to be detected at different focal lengths, compares the quality of the two images at the corresponding positions of the dark area, and determines the plane where the residual oil is located. Thus, the residual oil on the surface of the polyimide can be conveniently and accurately detected, and the plane where the oil is located can be determined, thereby facilitating subsequent effective removal of the residual oil, with low cost and good real-time performance. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 Flowchart of the surface treatment quality detection method of the polyimide according to an embodiment of the present application;

[0019] Figure 2 Schematic diagram of the positional relationship of various components during image acquisition according to one specific embodiment of the present application;

[0020] Figure 3 Block schematic diagram of the surface treatment quality detection device of the polyimide according to an embodiment of the present application. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application.

[0022] As shown in the drawings, the surface treatment quality detection method of the polyimide according to an embodiment of the present application includes the following steps: Figure 1

[0023] S1, acquire an image of a transmission area on a background plane, wherein the light of a preset light source is transmitted through the polyimide material to be detected and irradiated onto the background plane to form a transmission area.

[0024] The surface treatment quality detection method of the polyimide according to an embodiment of the present application can be performed after the oil removal process. The polyimide material to be detected can be a certain section of a polyimide film in the form of a tape, or a certain piece of independent polyimide sheet. The polyimide material to be detected is transparent or semi-transparent material.

[0025] In one specific embodiment of the present application, as shown in the drawings, Figure 2 ​As shown, when the polyimide material to be detected reaches the first collection position, the preset light source can emit parallel light with a size consistent with that of the polyimide material to be detected, and the parallel light is transmitted onto the background surface to form a transmission area with the same size as the polyimide material to be detected. A camera is arranged at the first collection position, and the camera can be located obliquely above the background surface. When the background surface is translucent, the camera can also be located directly below the background surface.

[0026] S2, analyze the image of the transmission area on the background surface to determine whether there is a dark area in the transmission area.

[0027] For the image of the transmission area collected by the camera obliquely above the background surface, size transformation can be performed based on the angle of the camera to correct geometric distortion, so that the size of the transmission area in the image and the size ratio of each side are consistent with the actual size of the transmission area.

[0028] In an embodiment of the present application, the image of the transmission area on the background surface can be subjected to gray scale processing, and it is determined whether there is a connected region with a gray scale value in a preset gray scale range. If there is, the connected region is determined to be a dark area. The preset gray scale range can be a range less than a preset gray scale value, for example, a gray scale value less than 90.

[0029] The embodiment of the present application utilizes the scattering and absorption of light by the grease layer, and through the judgment of the dark area in the transmission area, the residual grease area can be easily identified relative to the identification of the actual material surface, and a complex algorithm is not required, and the identification is not easily missed.

[0030] Moreover, after the dark area is identified, subsequent judgment of the plane where the grease is located is performed, and the subsequent plane judgment step is not performed for all polyimide materials, so that the processor power requirement is low, the processing speed is fast, and the real-time requirement can be met.

[0031] S3, when the dark area exists in the transmission area, the first surface of the polyimide material to be detected is taken as the focal plane, the image of the polyimide material to be detected is collected, and the first image is obtained, and the second surface of the polyimide material to be detected is taken as the focal plane, the image of the polyimide material to be detected is collected, and the second image is obtained.

[0032] In a specific embodiment of the present application, as shown in Figure 2 If a dark area exists in the transmission area corresponding to a certain polyimide material to be detected, when the polyimide material to be detected reaches the second collection position, the camera arranged at the second collection position and located directly above the polyimide material to be detected can collect the image of the polyimide material to be detected.

[0033] In the second acquisition position, the first surface and the second surface of the polyimide material to be detected can be respectively set as the focal plane to acquire the first image and the second image. The first surface and the second surface refer to the front surface and the back surface, i.e. Figure 2 the upper surface and the lower surface of the polyimide material to be detected.

[0034] In an embodiment of the present application, the focal plane can be switched to the first surface or the second surface of the polyimide material to be detected by controlling the zoom of the camera, or the focal plane can be switched to the first surface or the second surface of the polyimide material to be detected by moving the camera up and down.

[0035] S4, the first image block corresponding to the dark area in the first image and the second image block corresponding to the dark area in the second image are segmented respectively.

[0036] Specifically, the relative positions of the first image block and the second image block in the first image and the second image can be obtained based on the relative positions of the dark area in the transmission area. The segmented first image block and the second image block are the residual oil area.

[0037] S5, the quality of the first image block and the second image block is compared to determine the plane where the residual oil on the polyimide material to be detected is located.

[0038] In an embodiment of the present application, the sharpness index of the first image block and the second image block can be calculated respectively and compared in size. The sharpness index can be the gray scale variance, the gradient amplitude, etc. The greater the sharpness index, the clearer the image block. If the sharpness index of the first image block is greater than that of the second image block, it is determined that the residual oil on the polyimide material to be detected is located on the first surface. If the sharpness index of the first image block is less than that of the second image block, it is determined that the residual oil on the polyimide material to be detected is located on the second surface.

[0039] When the thickness of the polyimide material to be detected is small, the first image block and the second image block will differ less for the data generally reflecting the definition, such as the gray scale variance and the gradient amplitude, which will lead to that any slight noise in the image block can not reflect the correct definition size relationship. Therefore, in another embodiment of the present application, another technical angle is adopted to determine the plane where the residual oil is located. Specifically, the first image block can be low-pass filtered to obtain a first filtered image block, and the second image block can be low-pass filtered to obtain a second filtered image block. Then, the SSIM of the first image block and the first filtered image block is calculated to obtain a first SSIM value, and the SSIM of the second image block and the second filtered image block is calculated to obtain a second SSIM value. Finally, the first SSIM value and the second SSIM value are compared in size, if the first SSIM value is greater than the second SSIM value, it is determined that the residual oil on the polyimide material to be detected is on the second surface; if the first SSIM value is less than the second SSIM value, it is determined that the residual oil on the polyimide material to be detected is on the first surface. By introducing the SSIM between the original image and the low-pass filtered image thereof, the comparison of the quality between the two images can be more obvious, thereby avoiding the problem that it is difficult to determine the plane where the residual oil is located for the small thickness of the polyimide material to be detected.

[0040] According to the polyimide surface treatment quality detection method of the embodiment of the present application, first, the dark area is obtained by image analysis of the transmitted light, then two images of the polyimide material to be detected are collected at different focal lengths, the quality of the corresponding positions of the dark areas of the two images is compared, and the plane where the residual oil is located is determined. Therefore, the residual oil on the surface of the polyimide can be conveniently and accurately detected, and the plane where the oil is located can be determined, thereby facilitating the subsequent effective removal of the residual oil, and the cost is low and the real-time performance is good.

[0041] Corresponding to the polyimide surface treatment quality detection method of the above embodiment, the present application further provides a polyimide surface treatment quality detection device.

[0042] As Figure 3As shown, the surface treatment quality detection device of the polyimide in the embodiment of the present application comprises a first acquisition module 10, a first analysis module 20, a second acquisition module 30, a segmentation module 40 and a second analysis module 50. The first acquisition module 10 is used for acquiring the image of the transmission area on the background surface, wherein the light of the preset light source is transmitted through the polyimide material to be detected and irradiated onto the background surface to form the transmission area; the first analysis module 20 is used for analyzing the image of the transmission area on the background surface to determine whether there is a dark area in the transmission area; the second acquisition module 30 is used for, when there is a dark area in the transmission area, acquiring the image of the polyimide material to be detected with the first surface of the polyimide material to be detected as the focal plane to obtain a first image, and acquiring the image of the polyimide material to be detected with the second surface of the polyimide material to be detected as the focal plane to obtain a second image; the segmentation module 40 is used for segmenting out the first image block corresponding to the dark area in the first image and the second image block corresponding to the dark area in the second image respectively; and the second analysis module 50 is used for comparing the quality of the first image block and the second image block to determine the plane where the residual grease on the polyimide material to be detected is located.

[0043] In an embodiment of the present application, the first analysis module 20 can perform gray scale processing on the image of the transmission area on the background surface, and determine whether there is a connected region with the gray scale values all in the preset gray scale range, and if there is, determine that the connected region is a dark area.

[0044] In an embodiment of the present application, the second acquisition module 30 can control the zoom of the camera to switch the focal plane to be the first surface of the polyimide material to be detected or the second surface of the polyimide material to be detected, or can move the up and down positions of the camera to switch the focal plane to be the first surface of the polyimide material to be detected or the second surface of the polyimide material to be detected.

[0045] The segmentation module 40 can specifically obtain the relative positions of the first image block to be segmented out in the first image and the second image block in the second image based on the relative position of the dark area in the transmission area. The segmented first image block and the second image block are the residual grease area.

[0046] In an embodiment of the present application, the second analysis module 50 can specifically calculate the definition indexes of the first image block and the second image block respectively, and compare the sizes. The definition index here can be the gray scale variance, the gradient amplitude, etc., and the larger the definition index is, the clearer the image block is. If the definition index of the first image block is larger than that of the second image block, it is determined that the residual grease on the polyimide material to be detected is on the first surface; if the definition index of the first image block is smaller than that of the second image block, it is determined that the residual grease on the polyimide material to be detected is on the second surface.

[0047] In another embodiment of the present application, the second analysis module 50 can specifically perform low-pass filtering on the first image block to obtain a first filtered image block, and perform low-pass filtering on the second image block to obtain a second filtered image block. Then, the SSIM of the first image block and the first filtered image block is calculated to obtain a first SSIM value, and the SSIM of the second image block and the second filtered image block is calculated to obtain a second SSIM value. Finally, the first SSIM value and the second SSIM value are compared in size, if the first SSIM value is greater than the second SSIM value, it is determined that the residual oil on the polyimide material to be detected is on the second surface; if the first SSIM value is less than the second SSIM value, it is determined that the residual oil on the polyimide material to be detected is on the first surface.

[0048] More specific embodiments can refer to the above-mentioned embodiments of the polyimide surface treatment quality detection method, which will not be repeated here.

[0049] The polyimide surface treatment quality detection device according to the embodiments of the present application can obtain a dark area by image analysis of transmitted light, collect two images of the polyimide material to be detected at different focal lengths, compare the quality of the dark area corresponding positions of the two images, and determine the plane where the residual oil is located. Thus, the residual oil on the polyimide surface can be conveniently and accurately detected, and the plane where the residual oil is located can be determined, thereby facilitating the subsequent effective removal of the residual oil, with low cost and good real-time performance.

[0050] In the description of the present application, the terms "first", "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. The meaning of "a plurality of" is two or more, unless otherwise specifically limited.

[0051] In the present application, unless otherwise specifically defined and limited, the terms "mounting", "connection", "connection", "fixing" and the like should be understood in a broad sense, for example, it can be fixedly connected, or it can be detachably connected, or it can be integrated; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the internal communication of two elements or the interaction relationship between two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0052] In the present application, unless specifically stated and limited otherwise, a first feature "on" or "under" a second feature can be directly in contact with the second feature, or indirectly in contact with the second feature through an intermediate medium. Also, a first feature "over", "above" and "on top of" a second feature can be directly above or obliquely above the second feature, or simply means that the first feature is horizontally higher than the second feature. A first feature "under", "below" and "underneath" a second feature can be directly below or obliquely below the second feature, or simply means that the first feature is horizontally lower than the second feature.

[0053] In the description of the specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Also, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. In addition, the person skilled in the art can combine and combine the different embodiments or examples described in the specification and the features of the different embodiments or examples, without contradiction.

[0054] Any process or method descriptions or descriptions of the flow diagrams in the specification or otherwise described herein can be understood as representing code modules, segments, or portions of code which include one or more executable instructions for performing specific logic functions or steps in the process, and the various embodiments of the application include additional implementations in which the order of steps can be changed, additional steps are included, or some steps are not present, all without departing from the scope of the application. Steps can be added or removed from the flow diagrams and other process descriptions or descriptions of the flow diagrams in the specification or otherwise described herein.

[0055] The logic and / or steps represented in flow diagrams or otherwise described herein, for example, can be considered as a sequence of instructions to implement logic functions, and can be embodied in any computer-readable medium for use by an instruction execution system, apparatus, or device, such as a computer-based system, processor- containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. In the context of this specification, a "computer-readable medium" can be any means that can contain, store, communicate, propagate or transport the program for use by or in connection with the instruction execution system, apparatus, or device. The computer-readable medium can be a machine-readable storage device (e.g., magnetic, optical or other) a machine-readable storage diskette (e.g., floppy, flexible or other), a machine-readable storage card (e.g., ROM, EEPROM, flash memory or other), a machine- readable storage tape (e.g., magnetic, optical or other), a machine-readable storage medium (e.g., a portable electronic device, a computer diskette, a computer memory, a programmable logic device, an application-specific integrated circuit, a programmable logic controller, a digital signal processor, a microprocessor, a microprocessor array or other), or a machine- readable interface device (e.g., a wired or wireless interface device). The computer-readable medium can also be paper or other suitable material upon which the program is printed, as the program can be electronically captured, for example by optically scanning the paper or other suitable medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and stored in a computer memory.

[0056] It should be understood that aspects of the application can be implemented in hardware, software, firmware or combinations thereof. In the above embodiments, various steps or methods can be implemented in software or firmware that is stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any of the following technologies, known in the art, or combinations thereof, can be used: a discrete logic circuit having logic gates for implementing logic functions on data signals, an application specific integrated circuit having appropriate combinational logic gates, a programmable gate array (PGA), a field programmable gate array (FPGA), or the like.

[0057] Those of skill in the art could readily implement the above described example methods with all or a portion of the procedures carried out by, for example, a program in appropriate

[0058] In addition, each function unit in each embodiment of the present application can be integrated in one processing module, or each unit can exist physically separately, or two or more units can be integrated in one module. The integrated module can be realized in the form of hardware, or in the form of software function module. When the integrated module is realized in the form of software function module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

[0059] Although the embodiments of the present application have been shown and described above, it should be understood by those ordinary skilled in the art that the above embodiments are exemplary and cannot be understood as limiting the present application, and those ordinary skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. A method for detecting the surface treatment quality of polyimide, characterized in that, Includes the following steps: An image of the transmissive area on the background surface is acquired, wherein light from a preset light source is transmitted through the polyimide material to be tested and illuminates the background surface to form the transmissive area; The image of the transmission area on the background surface is analyzed to determine whether there is a dark area in the transmission area; When a dark area exists in the transmission area, an image of the polyimide material to be tested is acquired using the first surface of the polyimide material to be tested as the focal plane to obtain a first image, and an image of the polyimide material to be tested is acquired using the second surface of the polyimide material to be tested as the focal plane to obtain a second image. The first image block corresponding to the dark area in the first image and the second image block corresponding to the dark area in the second image are respectively segmented; The quality of the first image block and the second image block is compared to determine the plane containing the residual grease on the polyimide material to be tested. The quality of the first image block and the second image block is compared to determine the plane containing the residual grease on the polyimide material to be tested. Specifically, this includes one of the following two methods: a) and b) a: Calculate the sharpness index of the first image block and the second image block respectively, and compare their sizes; if the sharpness index of the first image block is greater than the sharpness index of the second image block, then determine that the residual grease on the polyimide material to be tested is on the first surface; if the sharpness index of the first image block is less than the sharpness index of the second image block, then determine that the residual grease on the polyimide material to be tested is on the second surface. b: Perform low-pass filtering on the first image block to obtain a first filtered image block; perform low-pass filtering on the second image block to obtain a second filtered image block; calculate the SSIM of the first image block and the first filtered image block to obtain a first SSIM value; calculate the SSIM of the second image block and the second filtered image block to obtain a second SSIM value; compare the first SSIM value and the second SSIM value; if the first SSIM value is greater than the second SSIM value, it is determined that the residual grease on the polyimide material to be tested is on the second surface; if the first SSIM value is less than the second SSIM value, it is determined that the residual grease on the polyimide material to be tested is on the first surface.

2. The method for detecting the surface treatment quality of polyimide according to claim 1, characterized in that, By performing grayscale processing on the image of the transmission area on the background surface, and determining whether there is a connected region where all grayscale values ​​are within a preset grayscale range, if such a region exists, then the connected region is determined to be the dark area.

3. The method for detecting the surface treatment quality of polyimide according to claim 1, characterized in that, The camera zoom is controlled to switch the focal plane to either the first plane or the second plane.

4. A surface treatment quality testing device for polyimide, characterized in that, include: The first acquisition module is used to acquire an image of the transmissive area on the background surface, wherein light from a preset light source passes through the polyimide material to be detected and illuminates the background surface to form the transmissive area; The first analysis module is used to analyze the image of the transmission area on the background surface to determine whether there is a dark area in the transmission area; The second acquisition module is used to acquire an image of the polyimide material to be tested, with the first surface of the polyimide material to be tested as the focal plane, when there is a dark area in the transmission area, to obtain a first image, and to acquire an image of the polyimide material to be tested, with the second surface of the polyimide material to be tested as the focal plane, to obtain a second image. A segmentation module, wherein the segmentation module is used to segment out a first image block corresponding to the dark area in the first image and a second image block corresponding to the dark area in the second image; The second analysis module compares the quality of the first image block and the second image block to determine the plane containing the residual grease on the polyimide material to be tested. The second analysis module is specifically used to implement one of the following two schemes, a and b: a: Calculate the sharpness index of the first image block and the second image block respectively, and compare their sizes; if the sharpness index of the first image block is greater than the sharpness index of the second image block, then determine that the residual grease on the polyimide material to be tested is on the first surface; if the sharpness index of the first image block is less than the sharpness index of the second image block, then determine that the residual grease on the polyimide material to be tested is on the second surface. b: Perform low-pass filtering on the first image block to obtain a first filtered image block; perform low-pass filtering on the second image block to obtain a second filtered image block; calculate the SSIM of the first image block and the first filtered image block to obtain a first SSIM value; calculate the SSIM of the second image block and the second filtered image block to obtain a second SSIM value; compare the first SSIM value and the second SSIM value; if the first SSIM value is greater than the second SSIM value, it is determined that the residual grease on the polyimide material to be tested is on the second surface; if the first SSIM value is less than the second SSIM value, it is determined that the residual grease on the polyimide material to be tested is on the first surface.

5. The surface treatment quality testing device for polyimide according to claim 4, characterized in that, The first analysis module performs grayscale processing on the image of the transmission area on the background surface and determines whether there is a connected region where all grayscale values ​​are within a preset grayscale range. If such a region exists, it is determined that the connected region is the dark area.

6. The surface treatment quality testing device for polyimide according to claim 4, characterized in that, The second acquisition module controls the camera zoom to switch the focal plane to either the first plane or the second plane.

Images