Image Classification Based on Fuzzy Support Vector Machine

As a basic two-class classifier, support vector machine (SVM) has been proved to perform well in image classification, which is one of the most common tasks of image processing. However, for the n-class problem in image classification, SVM treats it as n two-class problems, in this way, unclassifiab...

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Bibliographic Details

Published in:	2008 International Symposium on Computational Intelligence and Design Vol. 1; pp. 68 - 71
Main Authors:	Jianming Li, Shuguang Huang, Rongsheng He, Kunming Qian
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-10-2008
Subjects:	Computational intelligence Feature extraction Fuzzy support vector machine Helium Histograms Image classification Image converters Image edge detection image feature extraction Pattern classification support vector machine Support vector machine classification Support vector machines
Online Access:	Get full text
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