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A machine vision-based detection method for surface defects of multiple types of materials

A machine vision and defect detection technology, applied in the field of inspection, can solve the problems of long system development cycle and poor flexibility, and achieve the effect of fast and effective online inspection, improved inspection accuracy and guaranteed quality.

Active Publication Date: 2017-02-22
吴晓军
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the surface defects of industrial products are various, uncertain, and have no rules to follow. Traditional product defect detection algorithms can only detect defects on the surface of one material. Different product surfaces require different algorithms to be designed and developed. The system Long development cycle and poor flexibility

Method used

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  • A machine vision-based detection method for surface defects of multiple types of materials
  • A machine vision-based detection method for surface defects of multiple types of materials
  • A machine vision-based detection method for surface defects of multiple types of materials

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Embodiment Construction

[0054] The present invention will be further described below in conjunction with the accompanying drawings.

[0055] 1 Image Acquisition

[0056] The image used in the present invention can be taken from the assembly line or robot loading and unloading system by using a color CCD / CMOS industrial camera to photograph the surface of the product, and then perform feature calculation after obtaining a suitable image.

[0057] 2 position alignment

[0058] In order to obtain images with consistent poses, it is necessary to align the acquired images. First, collect an image of the detected object as a template, and use the template matching algorithm to perform positioning matching on subsequent input images to obtain the position and rotation angle of the template image of the object to be detected in the input image, and then according to the acquired sense The center point and rotation angle of the object of interest adjust the input image, and select the target image with an a...

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Abstract

The invention provides a multi-type material surface defect detection method based on machine vision. According to the method, image gray difference, color histogram and pixel uniformity are taken as characteristics, an average qualified product image characteristic is obtained through characteristic study, that is, an ideal qualified product characteristic is obtained, the image characteristics of a to-be-detected product are calculated at the online detecting stage, a simple threshold value is set, defects are rapidly segmented out, and whether a detecting product has defects is determined. Finally, judgment is performed according to a detection result integrating the three characteristics, detecting stability of products is improved, and meanwhile, demand for surface defect detection of various industrial products made of different materials can be met.

Description

technical field [0001] The invention relates to the field of detection, in particular to a method for detecting surface defects of multiple types of materials based on machine vision. Background technique [0002] With the continuous improvement of people's product quality, the product needs to undergo strict appearance inspection during the production process and after production to ensure that the appearance of the product is flawless. At present, the vast majority of product testing needs to be done manually. Human judgment on product quality is subjective and random, without quantitative standards. With the increase of working hours, the energy of workers decreases, which is prone to wrong detection and judgment. The low efficiency of manual inspection requires enterprises to invest a lot of energy and financial resources to ensure product quality. With the development of modern computer technology, image processing technology, and machine vision technology, the automat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/88
Inventor 吴晓军
Owner 吴晓军