Copper strip surface defect detection system based on multi-feature fuzzy recognition

A defect detection and fuzzy recognition technology, applied in character and pattern recognition, optical test defect/defect, instrument, etc., can solve the problems of not considering the defect judgment link, not storing the copper strip surface quality image module, etc.

Inactive Publication Date: 2012-09-05
ZHEJIANG UNIV OF TECH
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Problems solved by technology

Zhang Xuewu et al. (Hehai University, 2011) proposed a method based on the theory of visual bionics, which

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  • Copper strip surface defect detection system based on multi-feature fuzzy recognition
  • Copper strip surface defect detection system based on multi-feature fuzzy recognition
  • Copper strip surface defect detection system based on multi-feature fuzzy recognition

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Embodiment Construction

[0061] The present invention will be further described below in conjunction with the accompanying drawings.

[0062] refer to Figure 1 to Figure 6 , a copper strip surface defect detection system based on multi-feature fuzzy recognition, said system includes an encoder module, used to obtain the speed information of copper strip operation, and generate a frequency signal; the image acquisition module 1 mainly includes an illumination unit and an image acquisition unit , wherein the lighting unit is a controllable linear array LED light source, and the image acquisition unit is a color linear array CCD industrial camera. This module mainly completes the acquisition of copper strip surface information; The color image of the surface of the copper strip is grayscaled and processed into a grayscale image. The second step is to use the median filter algorithm to remove noise. The third step is to perform a pre-judgment algorithm on the image to determine whether the image contains...

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Abstract

A copper strip surface defect detection system based on multi-feature fuzzy recognition comprises an encoder module, an image acquisition module, an image processing module, wherein the encoder module is used for obtaining the speed information of the operation of a copper strip and generating a frequency signal; the image acquisition module is used for acquiring the surface color image of the copper strip; and the image processing module is used for carrying out defect detection on the surface color image of the copper strip, wherein the defect detection of the image processing module specifically comprises the following processes of: applying a pre-judgment algorithm, if a defect is included, performing defected image division by a Canny algorithm, extracting the width-length ratio, circularity, squareness and invariant moment characteristics of the defected image and then inputting the extracted characteristic vectors into a multi-feature fuzzy recognition classifier, thereby identifying the type of the defect. By using the system, the identification rate and recognition accuracy of the type of the surface defect of the copper strip are improved, the requirements of enterprises for detecting and storing the surface defect information of the copper strip are met; and simultaneously, the system can be applied to the surface quality detection of other materials.

Description

technical field [0001] This patent relates to a copper strip surface defect detection system based on multi-feature fuzzy recognition. Background technique [0002] Copper strip is an important variety of copper processing materials. The consumption accounts for about 18% of the total consumption of processed copper materials. It is widely used in various fields such as electronics, electricity, communications, instrumentation, transportation and machinery manufacturing. Especially with the development of modern communication, electronics and semiconductor industries, not only the demand has increased sharply, but also the quality of copper strips has been put forward "precision copper strips", that is, high surface, high performance and high precision requirements. However, in the process of processing, due to raw materials, rolling equipment and processes, etc., different types of defects such as scratches, peeling, holes, and stains will appear on the surface of the coppe...

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Application Information

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IPC IPC(8): G01N21/89G06K9/62
Inventor 高飞张元鸣程振波肖刚李征
Owner ZHEJIANG UNIV OF TECH
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