A silkworm cocoon classification method based on color features and a support vector machine

A support vector machine, color feature technology, applied in computer parts, character and pattern recognition, instruments, etc., can solve problems such as inability to produce, inspection affecting automatic intelligent recognition and classification, and achieve the effect of solving low efficiency and reducing labor costs.

Inactive Publication Date: 2019-03-01
CHINA JILIANG UNIV
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Problems solved by technology

[0003] The purpose of the present invention is to provide a silkworm cocoon classification method based on color features and support vector machines, aiming at solving the problems that the four kinds of y

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  • A silkworm cocoon classification method based on color features and a support vector machine
  • A silkworm cocoon classification method based on color features and a support vector machine
  • A silkworm cocoon classification method based on color features and a support vector machine

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Embodiment Construction

[0036] Below in conjunction with specific embodiment, further illustrate the present invention. according to figure 1 As shown, a cocoon classification method based on color features and support vector machine mainly includes the following steps:

[0037] Step (1): Collection of silkworm cocoon images. The prepared four types of silkworm cocoons are photographed into pictures and labeled with categories, and used as the classification results to form a training set.

[0038] Step (2): Cocoon image preprocessing mainly includes the following sub-steps:

[0039] Step (21): Utilize the Otsu threshold segmentation algorithm to segment the cocoon image background;

[0040] Step (22): Use a disc structure element with a radius of 5 to perform an opening operation on the image, calculate the area of ​​all connected domains in the image, and extract the largest connected domain;

[0041] Step (23): performing intersection operation with the original image;

[0042] Step (24): Norm...

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Abstract

The invention discloses a silkworm cocoon classification method based on color features and a support vector machine. The silkworm cocoon classification method comprises the following steps: collecting silkworm cocoon images; Preprocessing the silkworm cocoon image; extracting color moments and color histogram features of the silkworm cocoon images; Analyzing color feature main components of the silkworm cocoon image; and establishing a silkworm cocoon classifier model by using a support vector machine, and identifying the types of the new silkworm cocoon images by using a classifier. According to the invention, the silkworm cocoon image is subjected to color histogram and color moment information extraction; and classification is carried out by combining principal component analysis dimensionality reduction with a support vector machine, so that the problem that a production inspection mechanism cannot automatically identify and classify four secondary cocoons which are yellow cocoons, rotten cocoons, heading cocoons and thin-skinned cocoons and seriously influence production and inspection at present is effectively solved, and positive significance is achieved for improving the production quality of textiles.

Description

technical field [0001] The invention relates to a cocoon classification method based on color features and a support vector machine, which belongs to the field of machine vision. Background technique [0002] Due to the raw material cocoon itself and environmental factors, cocoons in the same Zhuangkou will also have different sizes, colors, and uneven thicknesses, which will have a greater impact on the quality of silk reeling. In order to improve the utilization rate of raw cocoons and ensure the quality of raw silk products in the silk reeling process, it is necessary to identify and classify raw cocoons according to the appearance characteristics of silkworm cocoons before production. Cocoon selection operations in silk reeling factories include cocoon laying, cocoon turning, cocoon picking, cocoon digging, cocoon pinching, cocoon capture, etc., which are basically done manually. The work of cocoon selection is labor-intensive and resource-occupied, and the subjectivity...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/46G06K9/34
CPCG06V10/267G06V10/56G06F18/2135G06F18/2411
Inventor 孙卫红黄志鹏邵铁锋梁曼
Owner CHINA JILIANG UNIV
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