A spatial weighted color histogram for image retrieval

被引：1
作者：
Cheng, J [1 ]
Chen, YW
Lu, HQ
Zeng, XY
机构：
[1] Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100864, Peoples R China
[2] Univ Ryukyus, Fac Engn, Okinawa 9030213, Japan
[3] Ocean Univ China, Inst Computat Sci & Engn, Qingdao, Peoples R China
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2004年 / E87D卷 / 01期
关键词：
image retrieval; spatial weighted color histogram; HSV; spatial center moment;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Color histograms have been considered to be effective for color image indexing and retrieval. However, the histogram only represents the global statistical color information. We propose a new method: A Spatial Weighted Color Histogram (SWCH), for image retrieval. The color space of a color image is partitioned into several color subsets according to hue, saturation and value in HSV color space. Then, the spatial center moment of each subset is calculated as the weight of the corresponding subset. Experiments show that our method is more effective in indexing color image and insensitive to intensity variations.
引用
收藏
页码：246 / 249
页数：4
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