Research on edge detection algorithm of work piece defect in machine vision detection system

Surface defect detection based on machine vision is widely used in product quality detection in manufacturing industry. To improve the accuracy and efficiency of surface defect detection, an improved defect edge detection algorithm is proposed based on the study of Sobel operator. Firstly, the defect image is collected by the detection platform. Then, the defect image is processed by the median filter to eliminate some small noise and interference. Finally, the improved Sobel operator is used to calculate the gradients in eight directions, then the gradients of each pixel are calculated to obtain the gradient image, and the iterative threshold method is used to segment the gradient image, to extract the defect edge. Experimental results show that the improved Sobel algorithm can improve the shortcomings of easy edge loss, poor noise suppression ability, and insensitivity to edges in other directions, and has good edge continuity, good edge positioning ability, and unilateral performance, which improves the effectiveness of the algorithm.