Genetic algorithm to set active contour

被引：0

作者：

Rousselle, JJ ^{[1
]}

Vincent, N ^{[1
]}

Verbeke, N ^{[1
]}

机构：

[1] Univ Tours, LI, F-37200 Tours, France

来源：

COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS | 2003年 / 2756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：

Active contours, very popular in image segmentation, suffer from delicate adjustments of many parameters. We propose to carry out these adjustments using genetic algorithm. Here an active contour is implemented using a greedy algorithm. Within this framework, two approaches are presented. A supervised approach which delivers a global set of parameters. In this case the greedy algorithm is involved in the evaluation function of the genetic algorithm. The second approach is unsupervised. It determines a local set of parameters. The genetic algorithm computes a set of parameters which minimizes the energy at each point in the neighborhood of the current point in the greedy algorithm try to move.

引用

页码：345 / 352

页数：8

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