An image recognition method and system for precise weld forming quality
By triggering a high-speed camera to acquire weld images during the zero-crossing range of welding current, and combining adaptive segmentation and multi-scale gradient enhancement processing, the stability and accuracy problems of weld image recognition methods under illumination interference and grayscale changes are solved, and accurate identification and evaluation of weld quality are achieved.
CN122289643APending Publication Date: 2026-06-26NANTONG YUNDING PRECISION METAL MFG CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NANTONG YUNDING PRECISION METAL MFG CO LTD
- Filing Date
- 2026-03-11
- Publication Date
- 2026-06-26
Smart Images
Figure CN122289643A_ABST
Abstract
This invention relates to the field of image recognition technology, specifically to an image recognition method and system for precision weld formation quality, comprising the following steps: S1: acquiring an original grayscale image containing the weld region; S2: calculating an adaptive segmentation threshold and extracting the weld target region accordingly; S3: performing Sobel convolution on the weld target region to generate a gradient magnitude image; S4: fusing the convolution results at various scales to generate an enhanced gradient image; S5: extracting closed contours from the enhanced gradient image and calculating the Euler number, number of holes, and rate of change of boundary curvature for each contour; S6: outputting the judgment result of weld formation quality defects based on combined features. This invention, through the collaborative design of synchronous triggering of welding current, high-order gradient enhancement, and topological feature judgment, achieves high-precision automation of weld image acquisition and quality defect recognition.
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