A Center-Surround Histogram for content-based image retrieval

被引：4
|
作者：
Konstantinidis, Konstantinos [1 ]
Vonikakis, Vasileios [1 ]
Panitsidis, Georgios [1 ]
Andreadis, Ioannis [1 ]
机构：
[1] Democritus Univ Thrace, Elect Lab, Dept Elect & Comp Engn, GR-67100 Xanthi, Greece
来源：
PATTERN ANALYSIS AND APPLICATIONS | 2011年 / 14卷 / 03期
关键词：
Color histogram; Image analysis; Image retrieval; Edge detection; Difference of Gaussians; HVS; COLOR; TEXTURE; PERFORMANCE; DISTANCE;
D O I：
10.1007/s10044-011-0217-y
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a new type of histogram which incorporates only the visual information surrounding the edges of the image is introduced. The edge extraction operation is performed with the use of a center-surround operator of the Human Visual System. The proposed Center-Surround Histogram (CSH) has two main advantages over the classic histogram. First, it reduces the amount of visual information that needs to be processed and second, it incorporates a degree of spatial information when used in content based image retrieval applications. The method is compared with other contemporary image retrieval methods, including that of another edge color histogram, on two different databases. The comparison shows that the use of CSH exhibits better results in shorter execution times.
引用
收藏
页码：251 / 260
页数：10
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