Welded line defect detection method

Abstract

The invention relates to a welded line defect detection method which comprises the following steps of: judging a pixel proportion and judging an image shape, wherein the pixel proportion judgment comprises the following steps: determining the position of a welded line, acquiring an image of the welded line, locking a rectangular frame at the position of the welded line on the image, calculating the gray scale value of each pixel point on the image in the rectangular frame, dividing the gray scale values into low gray scale values from 0 to 128 and high gray scale values from 128 to 255, when the proportion of the low gray scale values of the pixel points of the image is more than 85 percent, determining that the welded line has defectes; and when the proportion is less than 85 percent, judging a shape of the image; and the image shape judgment comprises the following steps: performing binary conversion on the acquired image of the welded line, performing edge extraction on the converted image, extracting the shape of the welded line in the image, judging the shape of the welded line through an eight-communicated graph algorithm, and if the shape of the welded line is irregular, determining that the welded line is defected. By the welded line defect detection method, the detection work finished by a worker can be finished by a computer, so that the labor cost is reduced; and the stability and the high efficiency are realized.

Description

technical field [0001] The invention relates to a method for detecting weld seam defects. Background technique [0002] The barrel body of the metal packaging barrel is generally welded by a sheet metal body on both sides to form a cylindrical tank body before other processes are performed, leaving a weld seam at the welding position. Since the quality of the weld seam directly affects the quality of the packaging barrel, it is often necessary to inspect the weld seam when welding is completed to determine whether there is a defect in the weld seam. The detection of welds in the industry is generally manual inspection, but the detection efficiency of manual inspection is relatively low, and it is impossible to detect the subtleties of welds, and there are deviations in the judgment marks, which affect the stability of judgment. Contents of the invention [0003] The object of the invention is to provide a method for detecting weld seam defects. [0004] In order to achie...

AI Technical Summary

Problems solved by technology

The detection of welds in the industry is generally manual inspection, but the detection efficiency of manual inspection is relatively low, and it is impossible to detect the subtleties of welds, and there are deviations in the judgment marks, which affect the stability of judgment