CONTOUR DETECTION USING BINARY PARTITION TREES

被引：2
|
作者：
Pont-Tuset, Jordi [1 ]
Marques, Ferran [1 ]
机构：
[1] Univ Politecn Cataluna, Dept Signal Theory & Commun, E-08028 Barcelona, Spain
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年
关键词：
Image edge analysis; Image region analysis;
D O I：
10.1109/ICIP.2010.5652339
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：
Contour detection is a hard, challenging, and of paramount importance problem in image processing. State-of-the-art algorithms are approaching human performance but usually entail complex and tailored image models and arduous training. Binary Partition Tree is a hierarchical region-based image model that has been proven to have a wide range of applications in image filtering, information retrieval, object detection, etc. In this paper we propose a contour detection technique based on this versatile image model, extracting the contour information available in the tree yet outperforming one of the most widely-used contour detector.
引用
收藏
页码：1609 / 1612
页数：4
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