Fuzzy object patterns for visual indexing and segmentation

被引：0
|
作者：
Lim, JH [1 ]
机构：
[1] RWCP, Informat Base Funct KRDL Lab, Singapore 119613, Singapore
来源：
10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLE | 2001年
关键词：
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：
In this paper, we proposed Fuzzy Object Pattern (FOP) for the represention of image content. FOP is derived from view-based object recognition against a predefined vocabulary of visual object classes. Tessellation of FOPs over an image is further aggregated spatially to summarize the image content. This description scheme is deployed in image indexing and retrieval on home photographs with very promising results. Furthermore, FOP spans a new fuzzy pattern space in which incremental clustering is carried out to aggregate adjacent FOPs into larger regions. As a consequence, dominant regions can be segmented from an image.
引用
收藏
页码：77 / 80
页数：4
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