Method and device for detecting surface treatment quality of polyimide

Abstract

The invention provides a surface treatment quality detection method and device for polyimide, and the method comprises the following steps: collecting an image of a transmission region on a background surface, and enabling light of a preset light source to transmit a polyimide material to be detected and irradiate the background surface to form the transmission region; analyzing the image of the transmission area on the background surface to judge whether a dark area exists in the transmission area or not; when the dark area exists in the transmission area, acquiring an image of the to-be-detected polyimide material by taking the first surface of the to-be-detected polyimide material as a focal plane to obtain a first image, and acquiring an image of the to-be-detected polyimide material by taking the second surface of the to-be-detected polyimide material 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 with the quality of the second image block so as to judge the plane where the residual grease on the to-be-detected polyimide material is located.

Description

Technical Field

[0001] The present invention relates to the field of computer vision technology, and particularly to a method and device for detecting the surface treatment quality of polyimide. Background Art

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

[0003] Currently, for the detection of polyimide oil residue, common foreign object detection technologies such as X-ray detection and machine vision detection can be used. The cost of X-ray detection is relatively high, and for machine vision detection, due to the generally complex image processing and recognition algorithms currently used, for continuously moving strips or sequentially moving sheets, images need to be continuously collected and analyzed, which not only requires high computing power of the processor but also is difficult to meet the real-time requirement. In addition, the current machine vision detection technology is difficult to distinguish the surface where the oil is located, so it is difficult to clean the surface where the oil is located specifically. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention provides a method and device for detecting the surface treatment quality of polyimide, which can conveniently and accurately detect the oil residue on the polyimide surface, and can judge the surface where the oil is located, so as to facilitate the subsequent effective removal of the residual oil, with low cost and good real-time performance.

[0005] The technical solution adopted by the present invention is as follows:

[0006] A method for detecting the surface treatment quality of polyimide includes the following steps: collecting an image of the transmission area on the background surface, wherein the light of a preset light source passes through the polyimide material to be detected and irradiates on the background surface to form the transmission area; analyzing the image of the transmission area on the background surface to judge 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 an 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 an image of the polyimide material to be detected 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; comparing the quality of the first image block and the second image block to judge the plane where the residual oil on the polyimide material to be detected is located.

[0007] By performing gray-scale processing on the image of the transmission area on the background surface and determining whether there is a connected area where the gray-scale values are all within a preset gray-scale range, if so, it is determined that this connected area is the dark area.

[0008] Compare 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. Specifically, it includes: respectively calculating the clarity indexes of the first image block and the second image block and comparing their magnitudes; if the clarity index of the first image block is greater 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 clarity index of the first image block is less 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.

[0009] Compare 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. Specifically, it includes: 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 (Structural Similarity) between the first image block and the first filtered image block to obtain a first SSIM value; calculating the SSIM between the second image block and the second filtered image block to obtain a second SSIM value; comparing the magnitudes 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 grease 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 grease on the polyimide material to be detected is on the first surface.

[0010] Control the camera zoom to switch the focal plane to the first surface or the second surface.

[0011] A surface treatment quality detection device for polyimide, comprising: a first acquisition module, which is used to acquire an image of a transmission area on a background surface, wherein the light of a preset light source passes through the polyimide material to be detected and irradiates onto the background surface to form the transmission area; a first analysis module, which 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; a second acquisition module, which is used to, when there is a dark area in the transmission area, take the first surface of the polyimide material to be detected as the focal plane to acquire an image of the polyimide material to be detected, obtaining a first image, and take the second surface of the polyimide material to be detected as the focal plane to acquire an image of the polyimide material to be detected, obtaining a second image; a segmentation module, which is used to separately segment 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; a second analysis module, which is used to compare the quality of the first image block and the second image block to determine the plane where the residual grease is located 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 there is a connected area where the gray-scale values are all within a preset gray-scale range. If so, it determines that the connected area is the dark area.

[0013] The second analysis module specifically is used to: calculate the clarity indexes of the first image block and the second image block respectively and compare their magnitudes; if the clarity index of the first image block is greater than that of the second image block, it determines that the residual grease on the polyimide material to be detected is on the first surface; if the clarity index of the first image block is less than that of the second image block, it determines that the residual grease on the polyimide material to be detected is on the second surface.

[0014] The second analysis module specifically is used to: 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 between the first image block and the first filtered image block to obtain a first SSIM value; calculate the SSIM between the second image block and the second filtered image block to obtain a second SSIM value; compare the magnitudes of the first SSIM value and the second SSIM value; if the first SSIM value is greater than the second SSIM value, it determines that the residual grease 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 determines that the residual grease on the polyimide material to be detected is on the first surface.

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

[0016] Advantages of the present invention:

[0017] First, the present invention obtains a dark area by analyzing the transmitted light image, and then acquires two images of the polyimide material to be detected at different focal lengths, and compares the quality of the two images at the corresponding positions in the dark area, so as to judge the plane where the residual oil is located. Thus, it is possible to conveniently and accurately detect the residual oil on the polyimide surface, and to judge the surface where the oil is located, which is convenient for subsequent effective removal of the residual oil, with low cost and good real-time performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a flowchart of the method for detecting the surface treatment quality of polyimide according to an embodiment of the present invention;

[0019] Figure 2 is a schematic diagram of the positional relationship of each component during image acquisition in a specific embodiment of the present invention;

[0020] Figure 3 is a block schematic diagram of the device for detecting the surface treatment quality of polyimide according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0022] As Figure 1 shown, the method for detecting the surface treatment quality of polyimide according to an embodiment of the present invention includes the following steps:

[0023] S1, acquiring an image of the transmission area on the background surface, wherein the light of a preset light source transmits through the polyimide material to be detected and irradiates onto the background surface to form a transmission area.

[0024] The method for detecting the surface treatment quality of polyimide according to an embodiment of the present invention can be executed after the degreasing process. The polyimide material to be detected can be a certain section of a polyimide film in the form of a strip, or a certain independent polyimide sheet, and the polyimide material to be detected is a transparent or semi-transparent material.

[0025] In a specific embodiment of the present invention, as Figure 2As shown, when the polyimide material to be detected reaches the first acquisition position, the preset light source emits parallel light with a range consistent with the size of the polyimide material to be detected and transmits it onto the background surface, forming a transmission area with the same size as the polyimide material to be detected. A camera is set at the first acquisition position. The camera can be located obliquely above the background surface. When the background surface is semi-transparent, 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 camera angle to correct geometric distortion, so that the size of the transmission area in the image and the ratio of the sizes of each side are consistent with the actual size of the transmission area.

[0028] In an embodiment of the present invention, the image of the transmission area on the background surface can be subjected to grayscale processing, and it is determined whether there is a connected area where the grayscale values are all within a preset grayscale range. If so, it is determined that the connected area is a dark area. This preset grayscale range can be a range less than a preset grayscale value, for example, the grayscale value is less than 90.

[0029] The embodiment of the present invention utilizes the principle of the scattering and absorption of light by the grease layer. By judging the dark area in the transmission area, compared with the recognition of non-obvious targets on the actual material surface (the residual grease is a non-obvious target due to the influence of the color of the polyimide material itself and / or the non-obvious color of the grease), the residual grease area can be easily recognized without using complex algorithms and is not easily missed.

[0030] Moreover, after the dark area is recognized, the subsequent judgment of the plane where the grease is located is carried out. The subsequent plane judgment step is not executed for all polyimide materials. Therefore, the requirement for the computing power of the processor is low, the processing speed is fast, and the real-time requirement can be met.

[0031] S3. When there is a dark area in the transmission area, take the first surface of the polyimide material to be detected as the focal plane, collect the image of the polyimide material to be detected to obtain the first image, and take the second surface of the polyimide material to be detected as the focal plane, collect the image of the polyimide material to be detected to obtain the second image.

[0032] In a specific embodiment of the present invention, as Figure 2 shown, if there is a dark area in the transmission area corresponding to a certain polyimide material to be detected, when it reaches the second acquisition position, the image of the polyimide material to be detected can be collected by a camera set at the second acquisition position and located directly above the polyimide material to be detected.

[0033] Among them, at the second acquisition position, the first surface and the second surface of the polyimide material to be detected can be used as the focal planes respectively, and the first image and the second image are acquired. Here, the first surface and the second surface refer to the front and back surfaces, that is, Figure 2 the upper and lower surfaces of the polyimide material to be detected in Figure 2 .

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

[0035] S4. Respectively segment 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.

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

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

[0038] In an embodiment of the present invention, the clarity indexes of the first image block and the second image block can be calculated respectively and compared in size. Here, the clarity index can be the gray variance, gradient amplitude, etc. The larger the clarity index, the clearer the image block. If the clarity index of the first image block is greater 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 clarity index of the first image block is less 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.

[0039] When the thickness of the polyimide material to be detected is small, for general clarity-reflecting data such as gray variance and gradient magnitude, the difference between the first image block and the second image block will be small. This may cause the correct clarity magnitude relationship not to be reflected if there is a little noise in any image block. Therefore, in another embodiment of the present invention, another technical perspective is adopted to judge the plane where the residual grease is located. Specifically, the first image block can be subjected to low-pass filtering to obtain a first filtered image block, and the second image block can be subjected to low-pass filtering to obtain a second filtered image block. Then, calculate the SSIM between the first image block and the first filtered image block to obtain a first SSIM value, and calculate the SSIM between the second image block and the second filtered image block to obtain a second SSIM value. Finally, compare the magnitudes 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 grease 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 grease on the polyimide material to be detected is on the first surface. By introducing the SSIM between the original image and its low-pass filtered image, the comparison of the quality between the two images can be made more obvious, thus avoiding the problem of difficult judgment of the plane where the residual grease is located for the polyimide material to be detected with a small thickness.

[0040] According to the surface treatment quality detection method of polyimide in an embodiment of the present invention, first, the dark area is obtained by image analysis of the transmitted light, and then two images of the polyimide material to be detected are collected at different focal lengths, and the quality of the two images at the corresponding positions in the dark area is compared, so as to judge the plane where the residual grease is located. Thus, the residual grease on the polyimide surface can be conveniently and accurately detected, and the surface where the grease is located can be judged, so as to facilitate the subsequent effective removal of the residual grease, with low cost and good real-time performance.

[0041] Corresponding to the surface treatment quality detection method of polyimide in the above embodiment, the present invention also proposes a surface treatment quality detection device for polyimide.

[0042] Such as Figure 3As shown in the figure, the surface treatment quality detection device for polyimide according to the embodiment of the present invention includes 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 to acquire an image of the transmission area on the background surface. Among them, the light of a preset light source passes through the polyimide material to be detected and irradiates onto the background surface, forming a transmission area. The first analysis module 20 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 30 is used to, when there is a dark area in the transmission area, take the first surface of the polyimide material to be detected as the focal plane to acquire an image of the polyimide material to be detected, obtaining a first image, and take the second surface of the polyimide material to be detected as the focal plane to acquire an image of the polyimide material to be detected, obtaining a second image. The segmentation module 40 is used to separately segment 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 50 is used to compare 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 invention, 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 area whose gray-scale values are all within a preset gray-scale range. If so, it is determined that the connected area is a dark area.

[0044] In an embodiment of the present invention, the second acquisition module 30 can switch the focal plane to the first surface of the polyimide material to be detected or the second surface of the polyimide material to be detected by controlling the camera zoom, or can also switch the focal plane to the first surface of the polyimide material to be detected or the second surface of the polyimide material to be detected by moving the up and down position of the camera.

[0045] Specifically, the segmentation module 40 can obtain the relative position of the first image block to be segmented in the first image and the relative position of 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 second image block are the residual grease areas.

[0046] In an embodiment of the present invention, the second analysis module 50 can specifically calculate the clarity indexes of the first image block and the second image block respectively and compare their sizes. The clarity index here can be the gray-scale variance, gradient amplitude, etc. The larger the clarity index, the clearer the image block. If the clarity index of the first image block is greater than the clarity index 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 clarity index of the first image block is less than the clarity index 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 invention, the second analysis module 50 may 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, calculate the SSIM between the first image block and the first filtered image block to obtain a first SSIM value, and calculate the SSIM between the second image block and the second filtered image block to obtain a second SSIM value. Finally, compare the magnitudes 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 grease on the polyimide material to be detected is on the second side; 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 detected is on the first side.

[0048] For more specific implementation manners, reference may be made to the embodiments of the above-mentioned surface treatment quality detection method of polyimide, which will not be elaborated here.

[0049] According to the surface treatment quality detection device of polyimide in the embodiments of the present invention, by performing image analysis on the transmitted light to obtain a dark area, two images of the polyimide material to be detected are collected at different focal lengths, and the quality of the two images at the corresponding positions in the dark area is compared, so as to judge the plane where the residual grease is located. Thus, it is possible to conveniently and accurately detect the residual grease on the polyimide surface, and to judge the side where the grease is located, thereby facilitating the subsequent effective removal of the residual grease, with low cost and good real-time performance.

[0050] In the description of the present invention, the terms "first" and "second" are only used for descriptive purposes, and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The meaning of "plurality" is two or more, unless otherwise specifically defined.

[0051] In the present invention, unless otherwise clearly defined and limited, the terms "installed", "connected", "connected", "fixed", etc. should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the internal communication of two components or the interaction relationship between two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0052] In the present invention, unless otherwise clearly specified or limited, a first feature being "on" or "under" a second feature may mean that the first and second features are in direct contact, or the first and second features are indirectly in contact via an intermediate medium. Further, a first feature being "above", "over" and "on top of" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the horizontal height of the first feature is higher than that of the second feature. A first feature being "under", "below" and "beneath" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the horizontal height of the first feature is less than that of the second feature.

[0053] In the description of the present specification, descriptions with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean 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 invention. In the present specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art may combine and combine the different embodiments or examples described in the present specification and the features of different embodiments or examples.

[0054] Any process or method description, whether in a flowchart or described otherwise herein, can be understood to represent a module, segment, or portion of code including one or more executable instructions for implementing a specific logical function or process. The scope of the preferred embodiments of the present invention includes additional implementations, where functions may be executed in a manner that is not shown or discussed, including substantially simultaneously or in a reverse order according to the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention pertain.

[0055] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or used in combination with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connection parts with one or more wirings (electronic devices), portable computer disk cartridges (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber devices, and portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other suitable processing as necessary, and then stored in a computer memory.

[0056] It should be understood that various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits with suitable combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0057] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the method of the above embodiments can be completed by a program instructing relevant hardware, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0058] In addition, each functional unit in various embodiments of the present invention may be integrated into one processing module, may exist physically alone for each unit, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0059] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for detecting the surface treatment quality of polyimide, characterized in that, Including the following steps: Collect an image of the transmission area on the background surface, where the light of a preset light source passes through the polyimide material to be detected and irradiates onto the background surface to form the transmission area; Analyze 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, collect an 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, collect an image of the polyimide material to be detected to obtain a second image; Respectively 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; Compare the qualities of the first image block and the second image block to determine the plane where the residual grease is located on the polyimide material to be detected.

2. The surface treatment quality detection method of the polyimide according to claim 1, characterized in that, By performing gray-scale processing on the image of the transmission area on the background surface and determining whether there is a connected area where the gray-scale values are all within a preset gray-scale range, if so, determine that the connected area is the dark area.

3. The surface treatment quality detection method of the polyimide according to claim 1, characterized in that Comparing the qualities of the first image block and the second image block to determine the plane where the residual grease is located on the polyimide material to be detected specifically includes: Respectively calculate the clarity indexes of the first image block and the second image block and compare their magnitudes; If the clarity index of the first image block is greater 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 clarity index of the first image block is less 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.

4. The surface treatment quality detection method of the polyimide according to claim 1, characterized in that, Comparing the qualities of the first image block and the second image block to determine the plane where the residual grease is located on the polyimide material to be detected specifically includes: 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 between the first image block and the first filtered image block to obtain a first SSIM value; Calculate the SSIM between the second image block and the second filtered image block to obtain a second SSIM value; Compare the magnitudes 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 grease 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 grease on the polyimide material to be detected is on the first surface.

5. The method for detecting the surface treatment quality of the polyimide according to claim 1, characterized in that, Switch the focal plane to the first surface or the second surface by controlling the camera zoom.

6. A surface treatment quality detection device for polyimide, characterized in that, Including: A first acquisition module, which is used to collect an image of the transmission area on the background surface, where the light of a preset light source passes through the polyimide material to be detected and irradiates onto the background surface to form the transmission area; A first analysis module, which 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; A second acquisition module, which is used to, when there is a dark area in the transmission area, take the first surface of the polyimide material to be detected as the focal plane to acquire an image of the polyimide material to be detected, obtain a first image, and take the second surface of the polyimide material to be detected as the focal plane to acquire an image of the polyimide material to be detected, obtain a second image; A segmentation module, which is used to separately segment 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; A second analysis module, which is used to compare the quality of the first image block and the second image block to determine the plane where the residual grease is located on the polyimide material to be detected.

7. The surface treatment quality detection device for polyimide according to claim 6, wherein, The first analysis module performs gray-scale processing on the image of the transmission area on the background surface and determines whether there is a connected area where the gray-scale values are all within a preset gray-scale range. If so, it determines that the connected area is the dark area.

8. The surface treatment quality detection device for polyimide according to claim 6, characterized in that, The second analysis module specifically is used for: Calculating the clarity indexes of the first image block and the second image block respectively and comparing their sizes; If the clarity index of the first image block is greater 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 clarity index of the first image block is less 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.

9. The surface treatment quality detection device for polyimide according to claim 6, characterized in that, The second analysis module specifically is 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 between the first image block and the first filtered image block to obtain a first SSIM value; Calculating the SSIM between 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 grease 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 grease on the polyimide material to be detected is on the first surface.

10. The surface treatment quality detection device for polyimide according to claim 6, wherein The second acquisition module switches the focal plane to the first surface or the second surface by controlling the camera zoom.

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