Shape-based image retrieval

被引：0
|
作者：
Choras, Ryszard S. [1 ]
机构：
[1] Univ Technol & Life Sci, Fac Telecommun & Elect Engn, PL-85796 Bydgoszcz, Poland
来源：
NEW ASPECTS OF SIGNAL PROCESSING AND WAVELETS | 2008年
关键词：
image retrieval; shape description; feature extraction; classification;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Content-based image retrieval (CBIR) is an important issue in the computer vision community. Shape feature is one of the most important visual features. The shape feature is essential as it corresponds to the region of interest in images. Low-level visual features are used for representation and retrieval of images. Each object/region within an image is indexed by object/region-based shape feature vector. The shape feature vector is invariant to translation, rotation and scaling.
引用
收藏
页码：99 / 104
页数：6
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