A study on color and texture based image retrieval using SVM

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초록

With the development of digital image processing technology,Adopting effective retrieval model to retrieval images is essential nowadays with the presence of a huge amount of digital images.CBIR avoids many problems associated with traditional ways of retrieving images by keywords. Thus, a growing interest in the area of CBIR has been established in recent years.This paper presents a novel image retrieval algorithm.The algorithm is composed of two major phases, namely features extraction and relevance feedback. In the feature extraction phase, we extract the color feature using the improved DCD algorithm and extract the texture feature using the LBP algorithm, with the SVM algorithm adopted in the relevance feedback phase. Experimental results show that the proposed method has higher retrieval accuracy than other conventional ones. © 2014, Research India Publications.

키워드

Content-based image retrievalDominant color descriptorLocal binary patternSVM
제목
A study on color and texture based image retrieval using SVM
저자
Wang, D.Y.Whangbo, T.K.
발행일
2014-01
유형
Article
저널명
International Journal of Applied Engineering Research
9
24
페이지
25337 ~ 25346