CN-121998901-A - Method and system for identifying interfacial cracks of epoxy resin adhesive based on image processing and application of method and system

Abstract

The invention discloses a method, a system and an application thereof for identifying interfacial cracks of epoxy resin adhesives based on image processing, wherein the method comprises the following steps of S1, obtaining an original image P0 of a structural sample adhered by the epoxy resin adhesives; S2, converting the image into a single-channel gray level image P1, S3, carrying out noise reduction treatment to obtain P2, S4, carrying out histogram equalization treatment to obtain a contrast enhancement image P3, S5, carrying out bilateral filtering treatment to obtain a preprocessed image, S6, carrying out edge detection and recognition on the preprocessed image to obtain a binary crack outline mask, and S7, extracting crack characteristic parameters based on the crack outline mask to finish the crack detection of the epoxy resin adhesive interface. The invention can realize the automatic identification of the interface cracks of the epoxy resin adhesive, has the advantages of more accuracy, objectivity and high efficiency compared with a manual identification mode, and can be well applied to the analysis and evaluation of whether the newly developed adhesive meets the design requirement.

Inventors

• JIN CHUANG
• FANG YUAN
• YANG YULONG
• Cao chuang

Assignees

• 江苏斯迪克新材料科技股份有限公司
• 太仓斯迪克新材料科技有限公司

Dates

Publication Date

20260508

Application Date

20251212

Claims (10)

1. 1. The method for identifying the interfacial crack of the epoxy resin adhesive based on image processing is characterized by comprising the following steps of: s1, acquiring an original image P0 of a structure sample adhered by using an epoxy resin adhesive; s2, converting the original image into a single-channel gray level image P1; s3, carrying out noise reduction treatment on the single-channel gray level image P1 to obtain a noise-reduced image P2; s4, carrying out histogram equalization processing on the noise-reduced image P2, and enhancing the contrast to obtain a contrast enhanced image P3; S5, performing bilateral filtering processing on the contrast enhancement image P3 to obtain a preprocessed image; S6, carrying out edge detection and identification on the preprocessed image to obtain a binarized crack contour mask; And S7, extracting crack characteristic parameters based on the crack outline mask to finish the detection of the interface cracks of the epoxy resin adhesive.
2. 2. The method for identifying interfacial cracks of epoxy adhesive based on image processing according to claim 1, wherein the structural sample is a structure formed by bonding two workpieces together with epoxy adhesive and curing.
3. 3. The method of identifying interfacial cracks in epoxy adhesive based on image processing according to claim 1, wherein the original image P0 is an RGB three-channel color image of the bonding interface region containing the structural sample.
4. 4. The method for identifying interfacial cracks of epoxy resin adhesive based on image processing according to claim 1, wherein the step S3 is to perform noise reduction processing on the gray image P1 by using a gaussian blur noise reduction algorithm.
5. 5. The method for identifying interfacial cracks of epoxy resin adhesive based on image processing according to claim 1, wherein the Canny edge detection algorithm in step S6 performs edge detection and identification on the preprocessed image to obtain a binary crack contour mask.
6. 6. The method for identifying interfacial cracks of epoxy adhesive based on image processing according to claim 1, wherein the crack characteristic parameters in step S7 include the number of cracks and the total length of the cracks.
7. 7. Use of the method according to any one of claims 1-6 for analysis of the adhesive properties of epoxy adhesives, by bonding two metal pieces together using an epoxy adhesive to be analyzed and curing to obtain a structural sample, subjecting the structural sample to a cold and hot cycle treatment, and subjecting the structural sample to crack identification at the epoxy adhesive interface using the method according to any one of claims 1-6 during the treatment.
8. 8. A system for identifying interfacial cracks of epoxy resin adhesives based on image processing, which is characterized in that the identification of interfacial cracks of epoxy resin adhesives is carried out by adopting the method as claimed in any one of claims 1-6.
9. 9. A storage medium having stored thereon a computer program, which when executed is adapted to carry out the method of any of claims 1-6.
10. 10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 1-6 when executing the computer program.

Description

Method and system for identifying interfacial cracks of epoxy resin adhesive based on image processing and application of method and system Technical Field The invention relates to the technical field of image processing, in particular to a method and a system for identifying interfacial cracks of epoxy resin adhesives based on image processing and application thereof. Background The epoxy resin adhesive is an advanced material which takes epoxy resin as a matrix and realizes stable adhesive performance in a high-temperature environment through a molecular design and modification technology. The adhesive has good adhesive property, good functionality, low price and simple and convenient adhesive process, so the adhesive has been widely applied in the fields of household appliances, automobiles, water conservancy traffic, electronic appliances and aerospace industry in recent decades. In order to improve the product performance, related scientific research workers are continuously developing new epoxy resin adhesives. The cracking resistance is one of the important indexes for evaluating and analyzing the performance of the epoxy resin. The method is generally adopted to carry out cold and hot circulation treatment on the workpiece bonded by the epoxy resin adhesive, and then detect cracks of a bonding interface. The detection method is generally manual observation, and has the defects of large error, strong subjectivity, low efficiency and the like. Therefore, there is a need for improvements in the art to provide a more reliable solution. Disclosure of Invention The invention aims to solve the technical problem of providing a method and a system for identifying an interface crack of an epoxy resin adhesive based on image processing and application thereof aiming at the defects in the prior art. In order to solve the technical problems, the invention adopts the technical scheme that in the first aspect, the invention provides a method for identifying interfacial cracks of epoxy resin adhesives based on image processing, which comprises the following steps: s1, acquiring an original image P0 of a structure sample adhered by using an epoxy resin adhesive; s2, converting the original image into a single-channel gray level image P1; s3, carrying out noise reduction treatment on the single-channel gray level image P1 to obtain a noise-reduced image P2; s4, carrying out histogram equalization processing on the noise-reduced image P2, and enhancing the contrast to obtain a contrast enhanced image P3; S5, performing bilateral filtering processing on the contrast enhancement image P3 to obtain a preprocessed image; S6, carrying out edge detection and identification on the preprocessed image to obtain a binarized crack contour mask; And S7, extracting crack characteristic parameters based on the crack outline mask to finish the detection of the interface cracks of the epoxy resin adhesive. Preferably, the structural sample is a structure formed by bonding two workpieces together with an epoxy adhesive and curing the same. Preferably, the original image P0 is an RGB three-channel color image containing the bonding interface region of the structure sample. Preferably, in step S3, the gray-scale image P1 is noise-reduced by using a gaussian blur noise reduction algorithm. Preferably, in step S6, the Canny edge detection algorithm performs edge detection and recognition on the preprocessed image, so as to obtain a binary crack contour mask. Preferably, the crack characteristic parameters in step S7 include the number of cracks and the total length of the cracks. In a second aspect of the invention, there is provided the use of a method as described above for analysing the adhesive properties of an epoxy adhesive by adhering two metal workpieces together using the epoxy adhesive to be analysed and curing to obtain a structural sample, subjecting the structural sample to a cold and hot cycle treatment during which crack identification is carried out on the epoxy adhesive interface of the structural sample using a method as described in any one of claims 1 to 6. In a third aspect of the invention, a system for identifying interfacial cracks of epoxy resin adhesive based on image processing is provided, which is characterized in that the identification of interfacial cracks of epoxy resin adhesive is performed by adopting the method. A fourth aspect of the present invention provides a storage medium having stored thereon a computer program, characterized in that the program, when executed, is adapted to carry out the method as described above. In a fifth aspect the invention provides a computer device comprising a memory, a processor and a computer program stored on said memory and executable on the processor, characterized in that said processor implements a method as described above when executing said computer program. The beneficial effects of the invention are as follows: The invention provides a method, a system and an