Metal part surface color visual detection method

Abstract

Provided is a metal part surface color visual detection method at least comprises a color detection algorithm and software. The invention provides a color detection algorithm based on the Euclidean distance method. Each pixel point in one image is composed three colors (R,G,B), the image of the RGB model can be regarded as a three-dimensional space with R, G and B as three coordinates. In the space, the coordinate of the pixel point A is set as A (Ra, Ga, and Ba), the coordinate of the pixel point B is set as B (Rb,gb,bb), and the linear color Euclidean distance between the two pixel points isdefined to be the Euclidean color distance which is represented by K and is judged according to a set threshold value D; if the Euclidean color distance K exceeds the threshold value D, the color isdetermined to be abnormal; if the Euclidean color distance K does not exceed the threshold value D, the color is determined to be normal. The SVCD replaces a traditional color detection mode dependingon human eyes, so that the color detection efficiency is improved, and meanwhile, the software interface is friendly, the operation is convenient, and a high-precision algorithm is used for realizingthe things that the human eyes are not likely to complete.

Description

technical field [0001] The invention relates to the field of machine vision, and in particular discloses a method for detecting the surface color of metal parts. Background technique [0002] Machine vision inspection technology has the advantages of non-contact, online real-time, fast speed, high precision, and strong anti-interference ability on site. Therefore, in the modern automated production process, machine vision systems are widely used in various quality control, working condition monitoring and Finished product inspection and other fields. In the global processing industry, China can be described as a big manufacturing country, known as the "world factory". With the intensification of global competition, China's manufacturing industry has made great progress. Exquisite design, complex craftsmanship, and strict quality requirements have brought huge challenges to China's manufacturing industry. Therefore, reducing the generation of waste products and improving q...

AI Technical Summary

Problems solved by technology

At present, the research on the real-time detection of the color of parts on the production line is basically blank. According to the needs of enterprise customers, this invention proposes a method for detecting the surface color of metal parts based on machine vision to detect and identify parts of different colors.

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