Glass boundary defect detection method and device, terminal and storage medium

Abstract

An embodiment of the invention discloses a glass boundary defect detection method and device, a terminal and a storage medium, and the method comprises the following steps of acquiring an image corresponding to the glass to be detected; generating an edge contour map corresponding to the image through an edge detection algorithm and an edge tracking algorithm; using a k-cosine curvature algorithmto calculate the curvature of the edge contour map, comparing the curvature with a preset curvature threshold, determining that there are defects in the boundary of the glass to be detected corresponding to the edge contour map if the curvature is less than the curvature threshold, performing feature screening on the defects to determine whether the defects are actually defects on the edges of theglass to be detected; and if the curvature is greater than or equal to the curvature threshold, determining that there is no defect in the boundary of the glass to be detected. In addition, in the embodiment of the invention, a glass boundary defect detection device, a terminal and a storage medium are also disclosed. By adopting the invention, the speed and accuracy of glass boundary detection can be improved.

Description

Technical field [0001] The invention relates to the technical field of machine vision, in particular to a method, a device, a terminal and a storage medium for detecting glass boundary defects. Background technique [0002] In order to ensure the quality of glass products, the glass is generally inspected after the production is completed. During the glass appearance quality inspection, it is necessary to detect some defects in the glass appearance, measure the size and direction of the glass, and identify the sprayed grade marks on the glass surface. ; The traditional method of inspecting glass quality is to use manual inspection, that is, under certain light source conditions, workers directly observe the glass to be tested and judge whether the glass is defective or not based on intuitive experience. This method is easy to be affected by human subjective factors to cause false or missed inspections, and the detection efficiency is very low, and it is not suitable for the needs...

AI Technical Summary

Problems solved by technology

[0003] In view of this, the present invention provides a glass boundary defect detection method, device, terminal and storage medium, which are used to solve the problems of low detection efficiency and low detection accuracy in the prior art

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