基于LBP值对空间统计特征的纹理描述符

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Abstract

The local binary pattern(LBP) descriptors employed in the content-based image retrieval system lack the abilities to describe the spatial relationships and have longer dimension of feature vector. In this paper, an improved LBP (ILBP) texture descriptor based on spatial statistical feature of LBP code pair is proposed. The original image is converted to the LBP pseudo image using LBP coding method for micro-pattern, and then several statistics of LBP code pair are extracted to form the feature vector for describing the texture attributes of images. Experiments are preformed on the content-based image retrieval prototype platform. Experimental results show that compared with other LBP descriptors the ILBP descriptor further enhances the description ability of LBP descriptor and substantially reduces the feature vector dimension with better query accuracy and query efficiency.

Key words： Content-Based Image Retrieval Local Binary Pattern(LBP) Local Binary Pattern Pseudo Image Statistical Feature Query Accuracy

Received: 14 November 2012

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	Articles by authors
	Xu-Shao-Ping
	LIU Xiao-Ping
	LI Chun-Quan
	HU Ling-Yan
	YANG Xiao-Hui

Cite this article:

Xu-Shao-Ping,LIU Xiao-Ping,LI Chun-Quan等. Texture Descriptor Based on Spatial Statistical Features of Local Binary Pattern Code Pair[J]. , 2013, 26(8): 769-776.

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http://manu46.magtech.com.cn/Jweb_prai/EN/ OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2013/V26/I8/769

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