Parameter optimization for image segmentation algorithms: A systematic approach

被引：0

作者：

Singh, M ^{[1
]}

Singh, S

Partridge, D

机构：

[1] Loughborough Univ Technol, Res Sch Informat, ATR Lab, Loughborough, Leics, England

[2] Univ Exeter, Dept Comp Sci, Exeter, Devon, England

来源：

PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 2, PROCEEDINGS | 2005年 / 3687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：

Image segmentation is one of the most fundamental steps of image analysis. Almost all image segmentation algorithms have their parameters that need to be optimally set for a good segmentation. The problem of automatically setting algorithm parameters on a per image basis has been largely ignored in the vision community. In this paper we present a novel solution to this problem based on classification complexity and image edge analysis.

引用

页码：11 / 19

页数：9

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