Paper Info
Title
Image Retrieval Based on Color and Texture Features
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.
Year
DOI
Venue
2012
10.1109/IIH-MSP.2013.107
IIH-MSP
Keywords
DocType
Citations 
image representation,color image retrieval accuracy,content-based color image retrieval,image matching,different category,color feature,color histogram feature,color image,different type,texture features,color image retrieval,j4.8 decision trees properties,image retrieval,multi-feature approach,texture feature,decision trees property,content-based color image retrieval technology,multifeature matching,j4.8,image texture,decision trees,content-based retrieval,color image representation,slight noise,image colour analysis
Conference
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Xiuxin Chen101.35
Ya Zheng201.01
Chong-chong Yu332.41
Cheng Gao4128.29