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Image feature optimization selection method and system based on improved ant colony optimization

A technology of image features and optimization selection, applied in the field of image processing, can solve the problem of low research results of cotton foreign fibers

Active Publication Date: 2010-10-06
CHINA AGRI UNIV
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Problems solved by technology

[0005] Although the current research on feature extraction and pattern recognition of cotton foreign fiber target images has achieved many results, and many results have been successfully applied in actual production, the research results on the feature optimization selection of cotton foreign fiber targets are very limited. few

Method used

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  • Image feature optimization selection method and system based on improved ant colony optimization
  • Image feature optimization selection method and system based on improved ant colony optimization
  • Image feature optimization selection method and system based on improved ant colony optimization

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Embodiment Construction

[0051] The specific implementation manners of the present invention will be described in further detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0052] As a novel intelligent bionic algorithm, ant colony optimization algorithm has good selection mechanism, update mechanism and coordination mechanism, and has shown good performance in different combinatorial optimization problems. In the embodiment of the present invention, the ant colony optimization algorithm is applied to the feature selection of cotton foreign fibers, which will provide more accurate and streamlined features for the classification and identification of foreign fibers. At the same time, the ant colony algorithm has been improved. Size, set the initial selection probability, accelerate the convergence of the algorithm, and add the mutation operation,...

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Abstract

The invention relates to image feature optimization selection method and system based on improved ant colony optimization. The method comprises the steps of: establishing a feature attribute table, ants and an ant table of a feature sample; carrying out feature selection and coding on each ant, and calculating goodness of each ant; randomly selecting partial ants and carrying out variation on selected feature subsets; carrying out stop judgment on feature selection; after once feature selection is completed on all ants, calculating pheromone content and feature selection probability of the features and updating the data of the feature attribute table; and outputting an optimal feature set. The invention ensures that the improved ant colony optimization is applied to the image (especially a cotton foreign fiber image) target feature optimization, realizes the optimized selection of image high-dimensional features, effectively reduces the feature dimensions, and improves the accuracy of classification identification.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and system for optimal selection of image features based on an improved ant colony algorithm, and is especially suitable for optimal selection of image features of cotton heterosexual fibers. Background technique [0002] Cotton foreign fibers refer to non-cotton fibers and colored fibers that are mixed into cotton during the cotton production process and have a serious impact on the quality of cotton and its products, mainly including 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, not only affecting yarn strength, but also affecting coloring, which will cause significant economic losses to the cotton textile industry. The current general solution is to reduce the content of foreign fibers by...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/00
Inventor 李道亮赵学华杨文柱陈桂芬张馨
Owner CHINA AGRI UNIV
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