Welding defect feature extraction and welding quality analysis method based on image processing

Abstract

The present invention discloses a welding defect feature extraction and welding quality analysis method based on image processing. The method of the present invention comprises the following steps: S1, performing image enhancement on a grayscale images acquired by a black and white camera; S2, according to the type of workpiece and the type of the welding region, designing a workpiece background segmentation card, segmenting the background of the enhanced image, and eliminating the influence of the background on subsequent image processing; and S3, according to a feature design extraction algorithm of welding holes, obtaining shape and area information of the welding defects, analyzing the sizes of the welding holes, and automatically classifying the failure degrees of the welding holes. According to the method disclosed by the present invention, image processing technologies such as image enhancement, background segmentation, binarization processing, contour extraction, and the like are successfully applied to the actual welding scene, the welding defect features in the workpiece after welding are effectively extracted, and the defect area is calculated; and the welding quality can be automatically analyzed in real time, and improvement of factory production efficiency can be facilitated.

Description

Technical field: [0001] The invention relates to a welding defect feature extraction and welding quality analysis method based on image processing, which belongs to the technical field of image processing. Background technique: [0002] With the development of automated welding technology, more and more factories have introduced welding robots for automated welding production. Welding robots have the advantages of high efficiency, stable quality and strong versatility. The flexibility, automation and intelligence of the welding process have become an important development trend of advanced welding equipment. With the popularity of welding robots, the production efficiency of factories has been greatly improved, but welding quality problems have also followed. The invention mainly aims at the quality problems that occur when a welding robot welds a vehicle frame in the bicycle industry. Welding quality problems will directly affect the durability and safety of the bicycle....

AI Technical Summary

Problems solved by technology

Most of these studies use the edge extraction method to extract the shape of the weld. In addition to directly using the traditional edge operator to extract the edge, there is also a combination of the Sobel operator and the Snake model to extract the edge of the weld image, or the compression coding technology The GED predictor template is introduced into the edge extraction technology of weld images. These studies have successfully extracted clear weld edges and analyzed the edge shape to judge the welding quality. However, there is still no clear and quantitative definition of the size and degree of welding defects. graded study

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