DocumentCode :
692026
Title :
Image Retrieval Based on Color and Texture Features
Author :
Xiuxin Chen ; Ya Zheng ; Chongchong Yu ; Cheng Gao
Author_Institution :
Comput. & Inf. Eng. Dept., Beijing Technol. & Bus. Univ., Beijing, China
fYear :
2013
fDate :
16-18 Oct. 2013
Firstpage :
403
Lastpage :
406
Abstract :
Currently, content-based color image retrieval technology is widely used, however, if we consider using single visual feature only to characterize image, the effect is not perfect. This paper is to overcome the above drawbacks, and have proposed using multi-feature approach to represent a color image, and then adding a slight noise on the different categories of images to match, finally, the results of the multi-feature matching defined as J4.8 decision trees properties´ input to train correspondingly. Experimental results have shown that color image retrieval accuracy of this method is higher, the operation is small, and it will be robust for the slight noise. Therefore, it is suitable for different types of color image retrieval.
Keywords :
content-based retrieval; decision trees; image colour analysis; image matching; image representation; image retrieval; image texture; J4.8 decision trees properties; color feature; color image representation; content-based color image retrieval technology; image matching; multifeature matching; texture feature; Accuracy; Color; Decision trees; Histograms; Image color analysis; Image retrieval; Visualization; Color histogram feature; J4.8; Texture feature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/IIH-MSP.2013.107
Filename :
6846663
Link To Document :
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