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Information 2016, 7(1), 9; doi:10.3390/info7010009

A Novel Local Structure Descriptor for Color Image Retrieval

Faculty of Software, Fujian Normal University, Qishan Community, Fuzhou 350108, China
Academic Editor: Willy Susilo
Received: 19 November 2015 / Revised: 28 January 2016 / Accepted: 15 February 2016 / Published: 22 February 2016
(This article belongs to the Section Information Processes)
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Abstract

A novel local structure descriptor (LSD) for color image retrieval is proposed in this paper. Local structures are defined based on a similarity of edge orientation, and LSD is constructed using the underlying colors in local structures with similar edge direction. LSD can effectively combine color, texture and shape as a whole for image retrieval. LSH integrates the advantages of both statistical and structural texture description methods, and it possesses high indexing capability and low dimensionality. In addition, the proposed feature extraction algorithm does not need to train on a large scale training datasets, and it can extract local structure histogram based on LSD. The experimental results on the Corel image databases show that the descriptor has a better image retrieval performance than other descriptors. View Full-Text
Keywords: local structures’ descriptor; local structures’ histogram; edge orientation similarity; underlying color; color image retrieval local structures’ descriptor; local structures’ histogram; edge orientation similarity; underlying color; color image retrieval
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zeng, Z. A Novel Local Structure Descriptor for Color Image Retrieval. Information 2016, 7, 9.

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