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

来源：

PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS AND APPLICATIONS, PROCEEDINGS | 2005年 / 3773卷

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

页码：120 / 127

页数：8

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