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Novel surface crack detection algorithm

A surface crack and detection algorithm technology, applied in the direction of optical testing flaws/defects, etc., can solve the problem of unsatisfactory recognition accuracy, and achieve the effect of strong defect resolution, good extraction and recognition effect, and high crack recognition rate.

Active Publication Date: 2014-05-07
南京宁创经纬智能技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The use of image recognition technology to detect cracks is a major technical means, but the recognition accuracy is not satisfactory

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The present invention acquires images through camera equipment, and then processes the acquired images, including seven steps:

[0022] The first step, binarized image input processing

[0023] After the detected image is processed in black and white mode, a binary image g(y-z) is formed;

[0024] The second step, the image neighborhood operation

[0025] For any pixel r(n-o) on the image, the pixel q(j-k) connected to the pixel r(n-o), if it satisfies

[0026] |i-m|+|j-n|=1 or |i-m|=|j-n|=1

[0027] The pixel q(j-k) at this time is called the neighborhood of the pixel r(n-o), where j, k, n and o are the rows or columns on the binary image g(y-z) respectively, when a black When a pixel in the neighborhood of pixel q) j-k) has a white pixel, set q) j-k) as a white pixel, and this operation is called crack erasing operation; when a pixel in the neighborhood of a certain white pixel q) j-k) has a When it is a black pixel, set q)j-k) as a black pixel, then this operatio...

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PUM

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Abstract

The invention relates to a novel surface crack detection algorithm. The algorithm comprises the following steps: firstly, obtaining an image by using camera shooting equipment; carrying out black-white mode processing on the detected image; and then, carrying out neighborhood operation on the image. The algorithm can be used for identifying and classifying a continuous casting blank surface image and can be used for rapidly obtaining a range space of crack defects; good extraction and identification effects are obtained, a surface defect identification effect is good and the crack identification rate is high; the reliability is high and the data is accurate.

Description

technical field [0001] The invention relates to a non-destructive detection method, in particular to a novel surface crack detection algorithm. Background technique [0002] Cracks on the surface of continuous casting slabs are inevitable in the production process. If cracks are detected, finishing needs to be carried out, and even waste products may be generated. Online detection of surface cracks is of great significance. Using image recognition technology to detect cracks is a major technical means, but the recognition accuracy is not satisfactory. Contents of the invention [0003] The invention overcomes the deficiencies of the prior art and proposes a novel surface crack detection algorithm. The algorithm recognizes and classifies images, can quickly obtain the range space of crack defects, and obtains better extraction and recognition effects, good surface defect recognition effects, high crack recognition rate, high reliability, and accurate data. The identificat...

Claims

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Application Information

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IPC IPC(8): G01N21/88
Inventor 王金鹤
Owner 南京宁创经纬智能技术有限公司