Image segmentation from consensus information

被引：43

作者：

Cho, KJ ^{[1
]}

Meer, P ^{[1
]}

机构：

[1] RUTGERS STATE UNIV, DEPT ELECT & COMP ENGN, PISCATAWAY, NJ 08855 USA

来源：

COMPUTER VISION AND IMAGE UNDERSTANDING | 1997年 / 68卷 / 01期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1006/cviu.1997.0546

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new approach toward image segmentation is proposed. A set of slightly different segmentations is derived from the same input and the final result is based on the consensus among them. The perturbations are introduced by exploiting the probabilistic component of a region adjacency graph (RAG) pyramid-based segmentation. From the set of initial segmentations the cooccurrence probability field is obtained in which global information about the delineated regions becomes locally available. The final segmentation is based on this field and is obtained with the same hierarchical, RAG pyramid technique. No user set parameters or context-dependent thresholds are required. (C) 1997 Academic Press.

引用

页码：72 / 89

页数：18

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