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

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...

AI Technical Summary

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 yellow cocoons, rotten cocoons, printed head cocoons and thin-skinned cocoons have a serious impact on production and inspection. The problem of automatic intelligent recognition and classification of cocoon

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