Measuring the quality evaluation for image segmentation

被引:0
|
作者
Pinheiro, RJG [1 ]
Facon, J [1 ]
机构
[1] PUCPR, BR-80215901 Curitiba, Parana, Brazil
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
This paper proposes a measure of quality for evaluating the performance of region-based segmentation methods. Degradation mechanisms are used to compare segmentation evaluation methods onto deteriorated ground-truth segmentation images. Experiments showed the significance of using degradation mechanisms to compare segmentation evaluation methods. Encouraging results were obtained for a selection of degradation effects.
引用
收藏
页码:120 / 127
页数:8
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