Pixel Labeling by Supervised Probabilistic Relaxation

Author

Richards, J.A. ; Landgrebe, D.A. ; Swain, P.H.

Author_Institution

School of Electrical Engineering and the Laboratory for Applications of Remote Sensing, Purdue University, West Lafayette, IN 47907; School of Electrical Engineering, University of New South Wales, Kensington, Australia.

Issue

2

fYear

1981

fDate

3/1/1981 12:00:00 AM

Firstpage

188

Lastpage

191

Abstract

A simple modification to existing probabilistic relaxation procedures is suggested which allows the information contained in initial labels to exert an influence on the direction of relaxation throughout the process. In this manner, the initial labels assume more importance than with conventional algorithms and are used in combination with the outcome of relaxation at each iteration to produce a cooperative estimate of the correct label for a particular object. Pixel labeling examples are presented which show the performance that can be obtained with the modified algorithm. The procedure is readily generalized to allow other data to influence the process.

Keywords

Computer graphics; Image reconstruction; Iterative algorithms; Labeling; Mathematics; Noise shaping; Nuclear medicine; Pattern recognition; Space technology; Tomography; Context; initial-labeling; labeling; pixel; relaxation;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/TPAMI.1981.4767077

Filename

4767077