Design of Image Classification System Based on Feature Extraction

Abstract:

Article Preview

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.

Info:

Periodical:

Key Engineering Materials (Volumes 474-476)

Edited by:

Garry Zhu

Pages:

1859-1864

DOI:

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

Citation:

G. N. Guo et al., "Design of Image Classification System Based on Feature Extraction", Key Engineering Materials, Vols. 474-476, pp. 1859-1864, 2011

Online since:

April 2011

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Price:

$35.00

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