Evaluation of shape correspondence using ordinal measures

被引：0
|
作者：
Cheikh, FA [1 ]
Cramariuc, B [1 ]
Partio, M [1 ]
Reijonen, P [1 ]
Gabbouj, M [1 ]
机构：
[1] Tampere Univ Technol, Digital Media Inst, FIN-33101 Tampere, Finland
来源：
STORAGE AND RETRIEVAL FOR MEDIA DATABASES 2002 | 2002年 / 4676卷
关键词：
content; retrieval; indexing; image; contour; boundary; shape; ordinal; correlation; similarity; measure; segmentation; performance;
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：
In this paper we present a novel approach to shape similarity estimation based on ordinal correlation. The proposed method operates in three steps: object alignment, contour to multilevel image transformation and similarity evaluation. This approach is suitable for use in CBIR, shape classification and performance evaluation of segmentation algorithms. The proposed technique produced encouraging results when applied on the MPEG-7 test data.
引用
收藏
页码：22 / 30
页数：9
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