Journal
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
Volume 24, Issue 1, Pages 63-74Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jvcir.2012.10.003
Keywords
Texture descriptor; Color descriptor; Quantization color space; Content based image retrieval; Structure elements' descriptor; Structure elements' histogram; Texton detection; HSV color space
Funding
- National Natural Science Foundation of China [61173183, 60973152, 60573172]
- Superior University Doctor Subject Special Scientific Research Foundation of China [20070141014]
- Program for Liaoning Excellent Talents in University [LR2012003]
- National Natural Science Foundation of Liaoning Province [20082165]
- Fundamental Research Funds for the Central Universities [DUT12JB06]
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In this paper, structure elements' descriptor (SED) - a novel texture descriptor, is proposed. SED can effectively describe images and represent image local features. Moreover, SED can extract and describe color and texture features. The image structure elements' histogram (SEH) is computed by SED, and HSV color space is used (it has been quantized to 72 bins). SEH integrates the advantages of both statistical and structural texture description methods, and it can represent the spatial correlation of color and texture. The results demonstrate that the method has a better performance than other image retrieval methods in the experiments. (C) 2012 Elsevier Inc. All rights reserved.
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