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A method for detecting surface defects of magnetic cores based on machine vision

A defect detection and machine vision technology, applied in the field of defect detection, can solve problems such as low efficiency and large manual operation errors, and achieve the effects of reducing costs, flexibly controlling the accuracy of detection, and high detection accuracy

Active Publication Date: 2021-07-02
三螺旋大数据科技(昆山)有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for detecting defects on the surface of magnetic cores based on machine vision to solve the problems of large manual operation errors and low efficiency in the prior art

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  • A method for detecting surface defects of magnetic cores based on machine vision
  • A method for detecting surface defects of magnetic cores based on machine vision
  • A method for detecting surface defects of magnetic cores based on machine vision

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Embodiment Construction

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0051] see Figures 1 to 8 , the present invention provides a technical solution: a method for detecting surface defects of a magnetic core based on machine vision, the steps of which are:

[0052] 1) Collect ten pictures of the magnetic core to be tested through a color CCD industrial camera;

[0053] 2) Carry out grayscale processing on the collected image, and convert it into a single-channel grayscale image;

[0054] 3) Evaluate the image after the grays...

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Abstract

The present invention relates to the technical field of defect detection, in particular to a method for detecting defects on the surface of magnetic cores based on machine vision. The grayscale image is converted into a single-channel grayscale image; the image quality evaluation function is used to evaluate the image after grayscale processing, and the best test image is selected; the image is contrasted and enhanced by gamma transformation; the OSTU algorithm is used to obtain two value map; use the 4-connected region method to extract the contour of the defect; draw the contour of the defect with the smallest circumscribed rectangle, and calculate its area; compare the calculated rectangle area with the set threshold, and if it is greater than the threshold, the apex of the rectangle will be The coordinates are recorded, otherwise they are ignored; the minimum circumscribed rectangle of the defect is drawn in the original image; the defect information and pictures are uploaded to the database, and the detection accuracy of the present invention is higher, the flexibility is better, and it is more intelligent.

Description

technical field [0001] The invention relates to the technical field of defect detection, in particular to a method for detecting defects on the surface of a magnetic core based on machine vision. Background technique [0002] During the production process of the magnetic core, due to the production process or the production environment, surface defects such as scratches, scratches, and gaps are caused. These surface defects of the magnetic core will deteriorate the strength of the product, reduce the electrical characteristics, and even cause serious safety hazards. The current quality inspection of magnetic cores usually relies on manual observation of surface defects through glasses. [0003] Traditional manual detection mainly has the following disadvantages: 1. The spatial resolution of the human eye is limited, and it is difficult to distinguish small cracks. 2. Manual detection is easily affected by subjective consciousness, and the accuracy of detection is difficult...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/88G01N21/95
CPCG01N21/8851G01N21/9501G01N2021/8883G01N2021/8887
Inventor 范洪辉李佳伟朱洪锦
Owner 三螺旋大数据科技(昆山)有限公司
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