Information System in Image Classification Based on SVM and Color Clustering Analysis

Li Ying Qi; Ke Gang Wang

doi:10.4028/www.scientific.net/AMR.886.572

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 886Information System in Image Classification Based...

Information System in Image Classification Based on SVM and Color Clustering Analysis

Abstract:

Effective use of the color feature of Content Based Image Retrieval (CBIR) and Image classification is an important basic research, but there are some shortcomings in the color histogram representation method, such as high dimension, pixels spatial information is ignored and so on. Although color feature data can reduce the dimension by quantification, but some useful image color information will be discard. In this paper, the image color information processing in space constrained fuzzy clustering to obtain a lower dimensional color feature data of the image characteristics of domain colors description, and use multi-class support vector machine to classify color images. Experimental results show that the proposed method can better describe image color information than color histogram; image domain color description combined with support vector machine model can achieve the automatic classification of images effectively.

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Periodical:

Advanced Materials Research (Volume 886)

Pages:

572-575

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.886.572

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Online since:

January 2014

Authors:

Li Ying Qi, Ke Gang Wang

Keywords:

Classify, Color, DCD, SVM

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