Histogram similarity measure using variable bin size distance

被引：37

作者：

Ma, Yu ^{[2
]}

Gu, Xiaodong ^{[1
]}

Wang, Yuanyuan ^{[1
]}

机构：

[1] Fudan Univ, Dept Elect Engn, Shanghai 200433, Peoples R China

[2] Fudan Univ, State Key Lab ASIC & Syst, Shanghai 200433, Peoples R China

来源：

COMPUTER VISION AND IMAGE UNDERSTANDING | 2010年 / 114卷 / 08期

关键词：

Variable bin size distance (VBSD); Histogram similarity; Histogram distance; Image retrieval; EARTH-MOVERS-DISTANCE; IMAGE RETRIEVAL; COLOR; TEXTURE; FEATURES;

D O I：

10.1016/j.cviu.2010.03.006

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to improve the performance of bin-by-bin distances, this paper proposes variable bin size distance (VBSD) as the histogram similarity measure. It calculates the histogram distance in a fine-to-coarse way, and can be considered as a cross-bin extension for bin-by-bin distances. The VBSD can be used to measure the similarity of multi-dimensional histograms, and is insensitive to both the histogram translation and the variation of histogram bin size. Experimental results show that the variable bin size distance performs better than bin-by-bin distances in the image retrieval applications. (C) 2010 Elsevier Inc. All rights reserved.

引用

页码：981 / 989

页数：9

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