Detecting method for workpiece shape based on machine vision

Abstract

The invention relates to a detecting method for workpiece shape based on machine vision. The detecting method is used for detecting whether the shape of a produced workpiece has defects or not. The method comprises the following steps: establishing an edge detection image template of the workpiece; acquiring an image of a to-be-detected workpiece and carrying out initialization processing on the image of the to-be-detected workpiece; carrying out binary image morphological operation on the edge detection image template and the processed image of the to-be-detected workpiece; judging whether the shape of the workpiece has the defects or not according to an operation result. Compared with the prior art, the detecting method disclosed by the invention has the advantages of capability of realizing automatic detection, convenience in realization, high detection efficiency and the like.

Description

technical field [0001] The invention relates to the field of workpiece detection, in particular to a machine vision-based workpiece shape detection method. Background technique [0002] The workpiece, as the cornerstone of the manufacturing industry, runs through various fields such as aviation, automobiles, and shipbuilding. The quality inspection method after processing has become one of the important symbols to measure the level of a country's manufacturing industry. Only more accurate and efficient workpiece inspection method, in order to produce better quality workpieces. [0003] In the process of workpiece quality inspection, it is often the most basic and most important to detect whether the shape of the workpiece meets the standards. Most of the existing workpiece shape detection methods are to manufacture a matching template that matches the shape of the workpiece, and then combine the workpiece with the matching template to judge the degree of matching with the n...

AI Technical Summary

Problems solved by technology

[0005] (1) Judging the degree of matching with the naked eye leads to non-uniform testing standards, resulting in uneven appearance and quality of the final workpieces that pass the test, resulting in the need for secondary testing to further eliminate defective products, which is time-consuming and laborious and difficult to guarantee quality;

[0006] (2) The mutual cooperation between the workpiece and the matching template is realized manually, which consumes human resources and is difficult to guarantee the detection speed

Images