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  • 标题:CONTENT BASED IMAGE CLASSIFICATION BY IMAGE FEATURE USING TSVM
  • 本地全文:下载
  • 作者:K.Venkatasalam
  • 期刊名称:International Journal of Communication and Computer Technologies
  • 印刷版ISSN:2278-9723
  • 出版年度:2012
  • 卷号:1
  • 期号:1
  • 出版社:IJCCTS
  • 摘要:The approach for content based color image classification is done by using Transductive support vector machine.The traditional classifiers [4] are not effectual in classifying the images due to the high dimensionality of the imagefeature space. This paper mainly deals with histogram of the color components and shape of the image. The majorpurpose of using color image histogram and shape is to obtain better efficiency and accuracy in imageclassification. Experimental results on test sets of 1000 images are reported and compared on histogram colorfeatures for RGB, CMYK, Lab, YUV, YCBCR, HSV, HVC, YIQ and YPbPr color spaces.
  • 关键词:Transductive support vector;machine; color image histogram; image;classification.
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