Original scientific paper
https://doi.org/10.2498/cit.1002256
Content-Based Image Retrieval Using Multiple Features
Chi Zhang
; School of Economics and Management, Beijing Jiaotong University, Beijing, China
Lei Huang
; School of Economics and Management, Beijing Jiaotong University, Beijing, China
Abstract
Algorithms of Content-Based Image Retrieval (CBIR) have been well developed along with the explosion of information. These algorithms are mainly distinguished based on feature used to describe the image content. In this paper, the algorithms that are based on color feature and texture feature for image retrieval will be presented. Color Coherence Vector based image retrieval algorithm is also attempted during the implementation process, but the best result is generated from the algorithms that weights color and texture. 80% satisfying rate is achieved.
Keywords
CBIR; color histogram; texture; color coherence vector; color feature
Hrčak ID:
129368
URI
Publication date:
10.11.2014.
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