Embedding diffusion in Variational Bayes: A technique for segmenting images

被引：6

作者：

Boccignone, Giuseppe ^{[1
]}

Napoletano, Paolo ^{[1
]}

Ferraro, Mario ^{[2
]}

机构：

[1] Univ Salerno, Dipartimento Ingn Informaz & Ingn Elettr, Nat Computat Lab, I-84084 Fisciano, SA, Italy

[2] Univ Turin, Dipartimento Fis Sperimentale, Turin, Italy

来源：

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | 2008年 / 22卷 / 05期

关键词：

image segmentation; variational Bayes; diffusion equation; model selection;

D O I：

10.1142/S0218001408006533

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we discuss how image segmentation can be handled by using Bayesian learning and inference. In particular variational techniques relying on free energy minimization will be introduced. It will be shown how to embed a spatial diffusion process on segmentation labels within the Variational Bayes learning procedure so as to enforce spatial constraints among labels.

引用

页码：811 / 827

页数：17

共 23 条

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