Metal workpiece surface defect image detection method

A metal workpiece, image detection technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of low detection efficiency, difficult to judge the quality of mass-produced and processed products, and detect the subjective influence of workers, so as to optimize production. The effect of quality, improving production efficiency and promoting development

Inactive Publication Date: 2021-02-05
NANTONG SAMER PRECISION EQUIP CO LTD
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Problems solved by technology

However, the manual detection method is easily affected by the subjectivity of the detection workers, and it is difficult to accurately judge the quality of mass-produced and processed products. At the same time, the detection efficiency is low and cannot meet the corresponding needs of modern industrial production and processing.

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  • Metal workpiece surface defect image detection method
  • Metal workpiece surface defect image detection method
  • Metal workpiece surface defect image detection method

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Embodiment Construction

[0037] The present invention will be further explained below in conjunction with the accompanying drawings.

[0038] A flow chart of a metal workpiece surface defect image detection method is as follows figure 1 shown, including the following steps:

[0039] Step 1: Collect the surface image of the metal workpiece to be detected through professional imaging equipment;

[0040] Step 2: Perform pre-processing operations on the collected metal workpiece images; specific pre-processing operations on the collected metal workpiece images include the following steps:

[0041] Step 2.1: Image grayscale correction for uneven illumination: first transform the image from the RGB channel to the HSV color space, and use formula (1) to estimate the illumination component L(x, y, k) in the image through the method based on the multi-scale Gaussian function :

[0042]

[0043] In the formula Represents convolution operation; (x, y) represents the pixel coordinates in the image; I(x, y...

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Abstract

The invention discloses a metal workpiece surface defect image detection method. The method comprises the steps of: firstly, collecting a surface image of a metal workpiece through professional imaging equipment, and then enabling the collected image to be subjected to image early-stage preprocessing including the steps of uneven illumination image gray scale correction, image filtering, image threshold segmentation and the like; further performing feature extraction and analysis on the preprocessed image, and introducing a sub-pixel edge detection algorithm to perform edge detection on the metal workpiece; and finally, carrying out template matching on the template image and the measurement image by adopting a gray-level co-occurrence matrix algorithm so as to carry out defect detection on the surface of the metal workpiece. According to the metal workpiece surface defect image detection method provided by the invention, the traditional manual visual inspection is replaced by an automatic detection technology based on machine vision, the production efficiency is improved, the labor cost is reduced, the metal workpiece defect detection precision is improved by adopting a sub-pixeledge detection algorithm, and the production quality is optimized.

Description

technical field [0001] The invention relates to an image detection method for surface defects of metal workpieces, belonging to the field of detection of metal surface defects. Background technique [0002] The detection of workpiece surface defects is a key link in the manufacturing process to stabilize the quality of processed products and improve the efficiency of processing production. Under the environment of modern scientific and technological progress and economic growth, the production level of the entire manufacturing industry has been further improved, and the market has put forward higher requirements for product quality. At present, for all kinds of workpieces produced in the processing process, problems such as machine tool vibration, tool wear, chip collision with the workpiece surface, and uneven material of the workpiece itself may cause various defects such as scratches, burns, and hemp pits on the surface of the workpiece. Affect the stability and safety o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/13G06T7/136G06T5/00G06K9/62G06N3/00G01N21/88
CPCG06T7/0004G06T7/13G06T7/136G06T5/007G06T5/002G06N3/006G01N21/8851G06T2207/10024G06T2207/20028G06T2207/20048G06T2207/30108G01N2021/8887G06V10/751
Inventor 马健东顾贤
Owner NANTONG SAMER PRECISION EQUIP CO LTD
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