Design of Image Classification System Based on Feature Extraction

Guang Nan Guo; Mei Chu; Xiao Hua Wang; Xiao Bo Huang; Zheng Wei

doi:10.4028/www.scientific.net/KEM.474-476.1859

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 474-476Design of Image Classification System Based on...

Design of Image Classification System Based on Feature Extraction

Abstract:

Image classification is a kind of image data mining method to classify different targets based on different features reflected in image information. The paper designed a kind of image classification system based on feature selection, which utilize feature selection and feature weight to optimize the features and obtain features that can reflect essential of classification, so as to improve image classification accuracy. Meanwhile, the paper gave material implementation method of main modules of image classification system. Image classification experiment based on the system proves effectiveness of the designed system.

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Periodical:

Key Engineering Materials (Volumes 474-476)

Pages:

1859-1864

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.474-476.1859

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Online since:

April 2011

Authors:

Guang Nan Guo, Mei Chu, Xiao Hua Wang, Xiao Bo Huang, Zheng Wei

Keywords:

Feature Optimization, Feature Selection, Image Classification, SIFT

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