Image sensor stitching structure, lens and macro camera

Abstract

The embodiment of the present invention discloses a splicing structure of an image sensor, a lens and a macro camera, and relates to a sensor splicing technology; when N sensors are spliced, the imaging areas in two adjacent sensors are staggered and spliced ​​in a manner with the smallest longitudinal distance, and this splicing method minimizes the longitudinal gap between the imaging areas of the adjacent sensors, thereby improving the longitudinal imaging accuracy of the sensor; and further limits the imaging areas in each two adjacent sensors to pixel overlap splicing at a first preset distance, and through the pixel overlap splicing method, there is no lateral distance difference between the imaging areas of the adjacent sensors, thereby improving the lateral imaging accuracy of the sensor. By applying the solution provided by this embodiment, on the basis of improving the compactness of the splicing structure between each sensor, the beneficial effects of improving the imaging accuracy of the sensor and reducing the processing difficulty of the image processing algorithm are achieved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of sensor splicing, and in particular to a splicing structure of an image sensor, a lens, and a macro camera. Background Art

[0002] Line scan macro cameras are suitable for various industrial fields that require macro detection, such as lithium battery, 3C, semiconductor and other industries, because of their high-precision, high-resolution and high-speed imaging capabilities. However, for some special application scenarios, such as large-format PCB board inspection, large-format lithium battery pole defect inspection, large-format metal sheet surface defect inspection and large-size semiconductor wafer inspection. A single traditional macro camera cannot meet the application requirements. These scenarios require multiple macro cameras to collect images at the same time, and process the collected images based on image processing algorithms to achieve alignment and splicing of multiple images collected by multiple macro cameras, so as to obtain a complete image collected in the current special application scenario. Then, when multiple cameras collect images at the same time, it involves the process requirements of splicing multiple image sensors, so that the spliced ​​image sensors are integrated into the macro camera to meet the application in special scenarios.

[0003] The existing method of splicing image sensors is to first select the number of sensors according to actual needs, and then splice multiple sensors in a row. For details, please refer to Figure 1 , Figure 1 A schematic diagram of the splicing structure of an image sensor provided by an existing solution. Figure 1 The following example uses three sensors connected in a straight line as an example. Figure 1 The gray area indicated by A is the imaging area of ​​the sensor, and the imaging area is used to scan and image the object.

[0004] from Figure 1 It can be seen that when the sensors are stitched in a line, there is a certain lateral distance difference △x between the imaging areas of adjacent sensors. △x will cause lateral pixel misalignment in the images taken by each sensor, which will lead to inconsistent brightness and contrast of each image. When using image processing algorithms to process each image, there are problems such as high difficulty of the processing algorithm and impact on image quality. Summary of the invention

[0005] The embodiments of the present invention provide a splicing structure of an image sensor, a lens and a macro camera, which can optimize the existing splicing solution of image sensors and improve imaging accuracy by improving the splicing method of each sensor.

[0006] In a first aspect, an embodiment of the present invention provides a stitching structure of an image sensor, the stitching structure comprising N sensors, each of which comprises an imaging area; the imaging areas in every two adjacent sensors are staggered and stitched in a manner of minimizing the longitudinal distance to form a stitching area; in the stitching area, the imaging areas in every two adjacent sensors are stitched with pixel overlap at a first preset distance.

[0007] Optionally, the imaging area includes a photosensitive area and a pseudo-pixel area; the imaging area includes an imaging length and an imaging width, the photosensitive area includes a photosensitive length and a photosensitive width, and the pseudo-pixel area includes a pseudo-pixel length and a pseudo-pixel width; the imaging length is composed of the photosensitive length and the pseudo-pixel length; the imaging width is equal to the pseudo-pixel width; and the imaging width is greater than the photosensitive width.

[0008] Optionally, the pseudo pixel length includes a first length and a second length, the first length is greater than the second length; the direction of the first length is determined to be the splicing head of the sensor, and the direction of the second length is determined to be the splicing tail of the sensor; when the imaging areas in every two adjacent sensors are staggered and spliced ​​in a manner of minimizing the longitudinal distance, the splicing heads corresponding to every two adjacent sensors are staggered and spliced, and the splicing tails corresponding to every two adjacent sensors are staggered and spliced.

[0009] Optionally, each of the sensors also includes a non-imaging area; the non-imaging area includes a non-imaging length and a non-imaging width; the non-imaging length is greater than the imaging length, and the non-imaging width is greater than the imaging width; the distance between the pseudo-pixel width where the first length is located and the non-imaging width is determined to be a third length; the distance between the pseudo-pixel width where the second length is located and the non-imaging width is determined to be a fourth length.

[0010] Optionally, the splicing area includes a head splicing area and a tail splicing area; the splicing length corresponding to the head splicing area includes the sum of the first length, the third length and the first preset distance; the splicing length corresponding to the tail splicing area includes the sum of the second length, the fourth length and the first preset distance.

[0011] Optionally, when the stitching structure is used for secondary stitching, the imaging areas in every two adjacent sensors are set to perform pixel overlap stitching at a second preset distance, and the second preset distance is greater than the first preset distance.

[0012] Optionally, the first preset distance is a length distance of 5-30 pixels.

[0013] Optionally, N is an even number.

[0014] In a second aspect, an embodiment of the present invention provides a lens, which is applied to the splicing structure of the image sensor provided in this embodiment.

[0015] In a third aspect, an embodiment of the present invention provides a macro camera, which is applied to the lens provided in this embodiment.

[0016] The splicing structure of the image sensor provided in the embodiment of the present invention, when N sensors are spliced, the imaging areas in two adjacent sensors are staggered and spliced ​​in a manner with the smallest longitudinal distance. This splicing method minimizes the longitudinal gap between the imaging areas of the adjacent sensors, thereby improving the longitudinal imaging accuracy of the sensor; and further limits the imaging areas in every two adjacent sensors to pixel overlap splicing at a first preset distance. Through the pixel overlap splicing method, there is no lateral distance difference between the imaging areas of the adjacent sensors, thereby improving the lateral imaging accuracy of the sensor. By applying the solution provided in this embodiment, on the basis of improving the compactness of the splicing structure between each sensor, the beneficial effects of improving the imaging accuracy of the sensor and reducing the processing difficulty of the image processing algorithm are achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of a splicing structure of an image sensor provided for an existing solution.

[0018] Figure 2 A schematic diagram of a splicing structure of an image sensor provided by an embodiment of the present invention.

[0019] Figure 3 A schematic diagram of a possible splicing structure of an image sensor provided by an embodiment of the present invention.

[0020] Figure 4 A schematic diagram of a possible splicing structure of another image sensor provided by an embodiment of the present invention.

[0021] Figure 5 A schematic structural diagram of an image sensor provided by an embodiment of the present invention.

[0022] Figure 6 A schematic diagram of a splicing structure of another image sensor provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and through specific implementation methods. It is understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It is also necessary to explain that, for ease of description, only parts related to the present invention are shown in the accompanying drawings, rather than all structures.

[0024] It should be mentioned before discussing the exemplary embodiments in more detail that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe the steps as sequential processes, many of the steps therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of the steps can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the accompanying drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0025] The solution provided by the embodiment of the present invention is applicable to the situation where the image sensors required to be integrated in the macro camera are spliced ​​before the macro camera is used to shoot large-format scenes. Specifically, Figure 2 A schematic diagram of a splicing structure of an image sensor provided by an embodiment of the present invention. Figure 2 The present embodiment includes N sensors, each sensor including an imaging area A.

[0026] The stitching methods of sensors include primary stitching and secondary stitching. Primary stitching refers to the scenario where multiple sensors need to be stitched together when the factory produces a circuit board with multiple sensors integrated. The number of sensors during primary stitching is subject to the order requirements received by the manufacturer from the customer. Secondary stitching means that in the actual application of the customer, there may be an insufficient number of sensors, or the number of sensors in the circuit products produced at one time does not meet the shooting requirements of larger-format scenes. At this time, the circuit board produced by primary stitching needs to be improved. This improvement method is generally to add sensors on the basis of primary stitching. The specific number of newly added sensors is subject to the actual scene requirements.

[0027] In order to facilitate a clear description of the splicing structure of the image sensor provided in this embodiment, the current embodiment is described by taking a splicing production scenario when a manufacturer produces a circuit board as an example. Before splicing multiple sensors, the structure of the image sensor is first explained. In this embodiment, a sensor can be regarded as a small circuit board unit, so the sensor may include an imaging area A and a non-imaging area. The imaging area is used to scan objects, and the non-imaging area is used for various electronic devices connected to the integrated circuit, such as capacitors, resistors, diodes, and transistors. The specific device types contained in the non-imaging area are not limited here, and are subject to actual production needs.

[0028] Then, when stitching together every two adjacent sensors, this embodiment is implemented by staggering and stitching the imaging areas of every two adjacent sensors in a manner that minimizes the longitudinal distance. Figure 2, such misaligned splicing can be understood as splicing every two adjacent sensors in a staggered stacking manner, such as bottom-up-bottom or top-bottom-top, or can also be understood as splicing in the structure of the Chinese character "pin". During the misaligned splicing process, the purpose of limiting the minimum vertical distance is to keep the vertical distance difference between the imaging regions in every two adjacent sensors to a minimum, so as to improve the imaging accuracy of vertical pixels during actual application.

[0029] Furthermore, due to the production process limitations of the sensors, the width of the imaging region in the sensor is not the same as the width of the sensor. Then, when every two adjacent sensors are misaligned and spliced in the manner of the minimum vertical distance, a splicing region will be generated. There will be two situations in the generated splicing region: non-overlapping imaging regions and overlapping imaging regions. Next, the two situations of the splicing region will be further analyzed:

[0030] First, please refer to Figure 3 , Figure 3 which is a schematic diagram of a possible splicing structure of an image sensor provided by an embodiment of the present invention. In Figure 3 , if two adjacent sensors are misaligned and spliced in the manner of the minimum vertical distance and the corresponding imaging regions do not overlap, it will result in a certain horizontal distance difference △x1 between the imaging regions of adjacent sensors. Figure 3 Although △x1 in Figure 1 is reduced to a certain extent based on △x in

[0031] , there will still be a situation where the horizontal pixels of the images captured by each sensor are misaligned, which will further lead to inconsistent brightness and contrast of each image.

[0032] Please continue to refer to Figure 2 , in Figure 2 , the regions indicated by D1 and the regions indicated by D2 both represent the splicing regions generated when adjacent sensors are misaligned and spliced. The area of the regions D1 and D2 can be the same or different ( Figure 2 illustrates the case where the region areas are different), and whether the area of the regions D1 and D2 is the same specifically is determined by whether the setting positions of the imaging regions in the sensors are equal to the distances from the two ends of the sensors.

[0033] It should be noted that regardless of how the imaging regions are set in the sensors and whether the area of the generated splicing regions D1 and D2 is the same, the overlapping pixels of the imaging regions of two adjacent sensors are overlapped and spliced at the first preset distance, that is, the overlapping pixel f in D1 is equal to the overlapping pixel f in D2.

[0034] Depend on Figure 2 It can be seen that, on the basis of satisfying that the imaging areas in every two adjacent sensors are staggered and spliced ​​in a way with the minimum longitudinal distance, and the pixels of the imaging areas in every two adjacent sensors overlap, the length of the overlapping pixels, that is, the value of the first preset distance f, can have a minimum value of 0 (that is, the imaging areas in every two adjacent sensors just touch), and a maximum value of the middle pixel point of the imaging area (that is, the imaging areas in every two adjacent sensors overlap at 1 / 2 of the imaging area). In this embodiment, on the basis of satisfying the imaging accuracy of the sensor, it is also necessary to consider the convenience of splicing adjacent sensors during the production process (that is, the first preset distance cannot be too small), and further consider the economic efficiency of the production cost (that is, the number of integrated sensors should be as small as possible). In this embodiment, the first preset distance can be set to a length distance of 5-30 pixels. Preferably, it can be 5 or 10, and the specific setting of the first preset distance is not limited here.

[0035] For another explanation, please refer to Figure 4 , Figure 4 A schematic diagram of a possible splicing structure of another image sensor provided by an embodiment of the present invention. Figure 4 It can be seen that Figure 4 Although the sensor splicing structure in the Figure 1 The horizontal distance difference △x existing in the one-line stitching also meets the stitching requirement of the imaging areas of every two adjacent sensors in this embodiment for pixel overlap at the first preset distance, but Figure 4 In the stitching method, there is a large longitudinal distance difference △y between the imaging areas of every two adjacent sensors in the longitudinal direction, which causes the images taken by each sensor to have longitudinal pixel misalignment, resulting in inconsistent brightness and contrast of each image.

[0036] Based on the above analysis, the splicing structure of the image sensor provided in this embodiment is compared with Figure 1 , Figure 3 and Figure 4 The best solution among the corresponding solutions.

[0037] The splicing structure of the image sensor provided in the embodiment of the present invention, when N sensors are spliced, the imaging areas in two adjacent sensors are staggered and spliced ​​in a manner with the smallest longitudinal distance. This splicing method minimizes the longitudinal gap between the imaging areas of the adjacent sensors, thereby improving the longitudinal imaging accuracy of the sensor; and further limits the imaging areas in every two adjacent sensors to pixel overlap splicing at a first preset distance. Through the pixel overlap splicing method, there is no lateral distance difference between the imaging areas of the adjacent sensors, thereby improving the lateral imaging accuracy of the sensor. By applying the solution provided in this embodiment, on the basis of improving the compactness of the splicing structure between each sensor, the beneficial effects of improving the imaging accuracy of the sensor and reducing the processing difficulty of the image processing algorithm are achieved.

[0038] Please refer to Figure 5 , Figure 5 The present invention provides a schematic diagram of the structure of an image sensor according to an embodiment of the present invention. The relationship between this embodiment and the above embodiment is a further detailed description of the corresponding features of the above embodiment. Figure 5 for Figure 2 Further detailed explanation of the corresponding features in .

[0039] Specifically, in Figure 5 In the embodiment, the imaging area includes the photosensitive area a1 ( Figure 5 gray filled area in the image) and pseudo pixel area a2 ( Figure 5 The area of ​​the imaging area is recorded as , the area of ​​the photosensitive region is recorded as , the area of ​​the pseudo pixel region is recorded as , then the relationship is satisfied = + .

[0040] The pseudo pixel area is an area surrounding the photosensitive area that cannot be imaged, and the photosensitive area is an area for scanning an object for imaging. Figure 5In the example, the following description is made by taking the case where both the imaging area and the photosensitive area are rectangles as an example. The imaging area includes an imaging length l1 and an imaging width m1, and the photosensitive area a1 includes a photosensitive length l2 and a photosensitive width m2. As can be seen from the figure, when the rectangles corresponding to the imaging area and the photosensitive area share a long side, the part of the imaging area except the photosensitive area is a pseudo-pixel area, and the pseudo-pixel area is "concave" at this time. Then, when the pseudo-pixel area a2 includes a pseudo-pixel length and a pseudo-pixel width, the pseudo-pixel width is equal to the imaging width, both of which are m1; the pseudo-pixel length includes a regular length and an irregular length, wherein the regular length indicates l1 which is equal to the imaging length, and the irregular length indicates the remaining length of the difference between the imaging length and the photosensitive length. In this embodiment, the imaging width is set to be greater than the photosensitive width.

[0041] In another embodiment, please refer to Figure 5 and Figure 6 , Figure 6 A schematic diagram of another image sensor splicing structure provided by an embodiment of the present invention. In this embodiment, the pseudo pixel length includes a first length l3 and a second length l4, and the first length l3 is greater than the second length l4. Based on this setting, there are multiple splicing methods in the sensor splicing process, such as Figure 4 Therefore, in order to improve the compactness of the splicing structure, in this embodiment, the direction of the first length l3 is determined as the splicing head of the sensor, and the direction of the second length l4 is determined as the splicing tail of the sensor; when the imaging areas of every two adjacent sensors are staggered and spliced ​​in a manner of minimizing the longitudinal distance, the splicing heads corresponding to every two adjacent sensors are staggered and spliced, and the splicing tails corresponding to every two adjacent sensors are staggered and spliced.

[0042] Furthermore, the number N of sensors provided in this embodiment is an even number. Figure 6 Take this as an example to illustrate. Figure 6 There are four mutually staggered sensors, which can be numbered 1, 2, 3, and 4 from left to right. In the process of staggered splicing based on the solution provided in this embodiment, 1 and 2 are called the first group of adjacent sensors, 2 and 3 are called the second group of adjacent sensors, and 3 and 4 are called the third group of adjacent sensors. In this embodiment, the purpose of setting the number of sensors N to an even number is to Figure 6The first group of adjacent sensors shown are processed based on head-to-head, and the second group of adjacent sensors are processed based on tail-to-tail. After integrating multiple sensors into one board, when performing secondary splicing, the secondary splicing only has one structure, tail-to-tail. Conversely, the first group of adjacent sensors are first processed based on tail-to-tail, and the second group of adjacent sensors are processed based on head-to-head, so that when performing secondary splicing, the secondary splicing only has one structure, head-to-head, which is convenient for secondary splicing and will not cause splicing errors. When the number of sensors is an odd number, if secondary splicing is performed, there are two structures, head-to-head and tail-to-tail. If the splicing is wrong, it will affect the subsequent imaging quality.

[0043] In another embodiment, please continue to refer to Figure 5 , each sensor also includes a non-imaging area B, that is, the area of ​​the sensor in the figure except the imaging area is called the non-imaging area; the non-imaging area includes a non-imaging length L and a non-imaging width M; the non-imaging length is greater than the imaging length, and the non-imaging width is greater than the imaging width; the distance between the pseudo-pixel width where the first length l3 is located and the non-imaging width is determined to be the third length l5; the distance between the pseudo-pixel width where the second length l4 is located and the non-imaging width is determined to be the fourth length l6.

[0044] A preferred embodiment, please continue to refer to Figure 5 and Figure 6 When the sensors are spliced ​​in the manner provided in this embodiment, the splicing area includes a head splicing area D1 and a tail splicing area D2; wherein, the splicing length corresponding to the head splicing area D1 includes the sum of the first length l3, the third length l5 and the first preset distance f respectively corresponding to the two adjacent sensors; specifically, the splicing length corresponding to the head splicing area D1 can be expressed by the formula: 2* l3+2* l5+f.

[0045] The stitching length corresponding to the tail stitching area includes the sum of the second length l4, the fourth length l6 and the first preset distance f corresponding to the two adjacent sensors respectively; specifically, the stitching length corresponding to the tail stitching area D2 can be expressed by the formula: 2* l3+2* l6+f.

[0046] In one application scenario, when the length of a board produced once is not enough and is used for secondary splicing, the imaging areas in every two adjacent sensors are set to overlap pixels and splice at a second preset distance g, and the second preset distance g is greater than the first preset distance f. The purpose of this setting is that since there are errors in the processing technology of the current processing and development board, such as burrs on the edges, the actual length is inconsistent with the theory, etc., it is necessary to ensure that g > f to ensure that the imaging area at the secondary connection can be imaged. By splicing multiple photosensitive units using the method provided in this embodiment, a wide coverage range is achieved, which can significantly improve the detection capability, especially in application scenarios that require large-area, high-resolution images, such as PCBs, semiconductors, printed circuit boards, etc.; further, through precise splicing technology, ultra-high-resolution imaging can be achieved, which is suitable for the detection of tiny structures or textures with high detail requirements.

[0047] Further, in a multi-sensor stitching system, the pixel error and misalignment in the circuit board can be calibrated by taking pictures of the standard parts (which can be understood as the circuit board generated after the sensor stitching structure provided in this embodiment is stitched together). The difference between the longitudinal and lateral pixels can be obtained through the integrated processing algorithm, and then the imaging is compensated. The following is a detailed calibration algorithm principle and implementation process: First, select a standard part of known size to ensure that its accuracy is high enough and suitable for repeated measurements; and place the standard part in a predetermined position to ensure that the standard part is within the camera field of view and prevent multiple standard parts from covering the entire stitching area. Then use all sensors in the stitching system to synchronously shoot images of the standard parts, ensure that all images are collected under the same environmental conditions, and shoot multiple groups of images of the standard parts at different positions or angles to cover more pixel areas and obtain sufficient data. Then perform longitudinal calibration to detect the pixel difference in the longitudinal pixel difference (i.e., the vertical direction of the sensor). For example, use edge detection or image gradient detection methods to identify edges or feature points in the image, compare longitudinal pixel differences, and detect pixel alignment errors between different sensors. The error is calculated using mean square error (MSE) and other error metrics. Based on the detected error, the longitudinal position of the sensor is adjusted or a correction algorithm is applied to compensate. Then, lateral calibration is performed to detect lateral pixel differences by calculating pixel distances. Specifically, the pixel distances between each set of standard parts in the image are calculated using the known actual size of the standard parts. For example, the distance between the edges of each standard part is calculated using an image processing algorithm. The actual distance of the standard parts in physical space is measured and these values ​​are recorded. Based on the difference between the pixel distance and the actual distance, the number of lateral misaligned pixels is determined. The sensor position also needs to be adjusted. Based on the longitudinal and lateral calibration results, the sensor position is physically adjusted to ensure hardware-level alignment. The correction algorithm is updated to update the correction parameters in the image processing algorithm and applied to the image stitching and fusion process to achieve software-level alignment, eliminate misalignment and ghosting in the stitching area, and achieve seamless wide-format imaging. Finally, the calibration effect is verified. More images of the standard parts are taken using the new calibration parameters to verify the calibration effect and ensure that the error is within an acceptable range.

[0048] The splicing structure of the image sensor provided in the embodiment of the present invention, when N sensors are spliced, the imaging areas in two adjacent sensors are staggered and spliced ​​in a manner with the smallest longitudinal distance. This splicing method minimizes the longitudinal gap between the imaging areas of the adjacent sensors, thereby improving the longitudinal imaging accuracy of the sensor; and further limits the imaging areas in every two adjacent sensors to pixel overlap splicing at a first preset distance. Through the pixel overlap splicing method, there is no lateral distance difference between the imaging areas of the adjacent sensors, thereby improving the lateral imaging accuracy of the sensor. By applying the solution provided in this embodiment, on the basis of improving the compactness of the splicing structure between each sensor, the beneficial effects of improving the imaging accuracy of the sensor and reducing the processing difficulty of the image processing algorithm are achieved.

[0049] In yet another embodiment, the lens provided in the embodiment of the present invention is applied to the splicing structure of the image sensor provided in any embodiment of the present invention when implemented.

[0050] Preferably, the lens provided in this embodiment is a rod lens. Due to its slender shape, the rod lens can save space and is suitable for use in narrow environments, such as micro-detection equipment, compact imaging systems, etc., so that the structure of the device can adapt to narrow spaces. Compared with traditional lenses, rod lenses are easier to integrate into compact optical systems, simplifying the design and assembly of optical systems and facilitating industrial production operations.

[0051] Since the lens provided in the embodiment of the present invention adopts all the technical solutions of all the embodiments of the splicing structure of the above-mentioned image sensor, it at least has all the beneficial effects brought by the technical solutions of the above-mentioned embodiments, which will not be described one by one here.

[0052] In another embodiment, the macro camera provided by the embodiment of the present invention is applied to the lens provided by any embodiment of the present invention when being implemented.

[0053] Since the macro camera provided by the embodiment of the present invention adopts all the technical solutions of all the above lens embodiments, it at least has all the beneficial effects brought by the technical solutions of the above embodiments, which will not be described one by one here.

[0054] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0055] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A splicing structure of an image sensor, characterized in that: The splicing structure includes N sensors, each of which includes an imaging area; N is an even number; The imaging areas in every two adjacent sensors are staggered and spliced ​​in a manner of minimizing the longitudinal distance to form a splicing area; In the stitching area, the imaging areas in every two adjacent sensors are stitched by pixel overlap at a first preset distance; wherein the first preset distance is a length distance of 5-30 pixels; Wherein, the imaging area includes a pseudo pixel area; the pseudo pixel length includes a first length and a second length, and the first length is greater than the second length; Determine that the direction where the first length is located is the splicing head of the sensor, and determine that the direction where the second length is located is the splicing tail of the sensor; When the imaging areas in every two adjacent sensors are staggered and spliced ​​in a manner of minimizing the longitudinal distance, the splicing heads corresponding to every two adjacent sensors are staggered and spliced, and the splicing tails corresponding to every two adjacent sensors are staggered and spliced.

2. The image sensor splicing structure according to claim 1, characterized in that: The imaging area also includes a photosensitive area; The imaging area includes an imaging length and an imaging width, the photosensitive area includes a photosensitive length and a photosensitive width, and the pseudo pixel area includes a pseudo pixel length and a pseudo pixel width; The imaging length is composed of the photosensitive length and the pseudo pixel length; the imaging width is equal to the pseudo pixel width; and the imaging width is greater than the photosensitive width.

3. The image sensor splicing structure according to claim 2, characterized in that: Each of said sensors further comprises a non-imaging region; The non-imaging area includes a non-imaging length and a non-imaging width; the non-imaging length is greater than the imaging length, and the non-imaging width is greater than the imaging width; Determine the distance between the pseudo pixel width where the first length is located and the non-imaging width as a third length; The distance between the dummy pixel width where the second length is located and the non-imaging width is determined as a fourth length.

4. The image sensor splicing structure according to claim 3, characterized in that: The splicing area includes a head splicing area and a tail splicing area; The splicing length corresponding to the head splicing area includes the sum of the first length, the third length and the first preset distance; The splicing length corresponding to the tail splicing area includes the sum of the second length, the fourth length and the first preset distance.

5. The image sensor splicing structure according to claim 1, characterized in that: When the stitching structure is used for secondary stitching, the imaging areas in every two adjacent sensors are set to perform pixel overlap stitching at a second preset distance, and the second preset distance is greater than the first preset distance.

6. A lens, characterized in that: A splicing structure applied to an image sensor as described in any one of claims 1 to 5.

7. A macro camera, characterized in that: Applicable to the lens as claimed in claim 6.

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