A histogram with perceptually smooth color transition for image retrieval
被引:0
作者:
Sural, S
论文数: 0引用数: 0
h-index: 0
机构:
Michigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USAMichigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USA
Sural, S
[1
]
Qian, G
论文数: 0引用数: 0
h-index: 0
机构:
Michigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USAMichigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USA
Qian, G
[1
]
Pramanik, S
论文数: 0引用数: 0
h-index: 0
机构:
Michigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USAMichigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USA
Pramanik, S
[1
]
机构:
[1] Michigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USA
来源:
PROCEEDINGS OF THE 6TH JOINT CONFERENCE ON INFORMATION SCIENCES
|
2002年
关键词:
image retrieval;
HSV color space;
color histogram;
windowing;
vector cosine distance;
D O I:
暂无
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
We propose a novel histogram generation technique using the HSV color space. The histogram retains a perceptually smooth color transition that enables us to do a window-based comparison of feature vectors for the purpose of effective retrieval of similar images from very large databases. During retrieval, we use a vector cosine distance measure for the ordering of image feature vectors. This distance measure shows an improvement in the retrieval result over the traditional Euclidean distance.
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页码:664 / 667
页数:4
相关论文
共 8 条
[1]
[Anonymous], 1997, P ARPA IMAGE UNDERST
[2]
NIBLACK W, 1993, P SOC PHOTO-OPT INS, V1908, P173