Statistical active grid for segmentation refinement

被引：10

作者：

Germain, O ^{[1
]}

Réfrégier, P ^{[1
]}

机构：

[1] Inst Fresnel, Equipe Phys & Traitement Image, F-13397 Marseille 20, France

来源：

PATTERN RECOGNITION LETTERS | 2001年 / 22卷 / 10期

关键词：

statistical models; image segmentation; active contour; SAR;

D O I：

10.1016/S0167-8655(01)00037-X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a new statistical method, based on a deformable partition called "active grid" for the semi-supervised segmentation of an image composed of several homogeneous regions. This approach allows one to efficiently refine a rough pre-segmentation with a computing time below half a second for 256 x 256 images ton a standard 700 MHz PC). (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：1125 / 1132

页数：8

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