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Foreign fiber fuzzy classification system and method based on automatic vision detection

A technology for automatic visual inspection of foreign fibers, used in character and pattern recognition, optical testing flaws/defects, instruments, etc., can solve the problems of different colors and shapes, various types of foreign fibers, and difficult to classify.

Inactive Publication Date: 2009-07-15
CHINA AGRI UNIV
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Problems solved by technology

Moreover, because of the various types of foreign fibers in cotton, with various colors and shapes, it is difficult to find a suitable and mature method to accurately classify them

Method used

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  • Foreign fiber fuzzy classification system and method based on automatic vision detection
  • Foreign fiber fuzzy classification system and method based on automatic vision detection
  • Foreign fiber fuzzy classification system and method based on automatic vision detection

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Embodiment Construction

[0043] The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0044] Such as figure 1 As shown, an AVI-based cotton foreign fiber fuzzy classification method provided by the present invention uses the pixel coordinate information of the foreign fiber target obtained by image segmentation, together with the original foreign fiber color image, to extract the color features of the foreign fiber target, including The mean value of red, green, blue, and brightness, and the standard deviation of the three components of RGB (RGB represents the colors of the three channels of red, green, and blue); extract the shape features of the heterosexual fiber target, including shape factor, expansion ratio, and Euler Number; extract the texture features of the circumscribed rectangular area of ​​the foreign fiber target, including standard deviation and contrast. Then the primary fuzzy classification module perfor...

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Abstract

The invention relates to a cotton foreign fiber classification system and method thereof. Multi-featured vector is formed by selecting color feature, shape feature and texture feature, and corresponding vague classifier will be structured, therefore the class recognition of foreign fiber is achieved. The invention detects the content of foreign fiber in the cotton with convenience, rapidity and precision, and it also classifies the cotton. The invention make the cotton seller reduce the content of foreign fiber in cotton.

Description

technical field [0001] The invention relates to the field of cotton foreign fiber classification, in particular to a cotton foreign fiber fuzzy classification system and method based on automatic vision detection. Background technique [0002] Foreign fibers in cotton refer to non-cotton fibers and colored fibers that are mixed into cotton and have a serious impact on the quality of cotton and its products during the process of cotton picking, drying, purchasing, storage, transportation, and processing, commonly known as "three silks". ", mainly including woven plastic cloth, cloth strips, hair, hemp rope, polypropylene silk and chicken feathers, etc. [0003] Although the content of foreign fibers in lint is small, it has a serious impact on the quality of cotton textiles. Once mixed and involved in weaving, it will affect the strength of the yarn, and affect the coloring during dyeing, which will cause significant economic losses to the cotton textile industry. The curren...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G01N21/88
Inventor 李道亮杨文柱魏新华康玉国李付堂
Owner CHINA AGRI UNIV
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