Evaluating hierarchical graph-based segmentation

被引：0
|
作者：
Haxhimusa, Yll [1 ]
Ion, Adrian [1 ]
Kropatsch, Walter G. [1 ]
机构：
[1] Vienna Univ Technol, Fac Informat, Pattern Recognit & Image Proc Grp 183-2, Vienna, Austria
来源：
18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS | 2006年
基金：
奥地利科学基金会;
关键词：
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：
Using real world images, two hierarchical graph-based segmentation methods are evaluated with respect to segmentations produced by humans. Global and local consistency measures do not show big differences between the two representative methods although human visual inspection of the results show advantages for one method. To a certain extent this subjective impression is captured by the new criteria of 'region size variation'.
引用
收藏
页码：195 / +
页数：2
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