DocumentCode :
1699428
Title :
Cross-section estimation and image segmentation by simulated annealing
Author :
White, R.G.
Author_Institution :
DRA, Malvern, UK
fYear :
1993
fDate :
6/15/1905 12:00:00 AM
Firstpage :
42644
Abstract :
To cope with the problem of data inhomogeneity one requires some form of automatic parameter estimation and, if the data parameterisation allows, some form of segmentation. Ideally this parameter or cross-section estimation algorithm should be capable of adapting to the local statistics in such a way that it may cope with potentially different parameterisations for different image resolutions. An algorithm based on simulated annealing which is capable of providing accurate estimations of either radar cross-section, at high resolution, or other texture parameters at lower resolution is presented. Example segmentations produced by these smoothing operations are also presented. These results are presented visually
Keywords :
image segmentation; parameter estimation; radar cross-sections; simulated annealing; automatic parameter estimation; cross-section estimation algorithm; data inhomogeneity; image resolutions; image segmentation; local statistics; radar cross-section; simulated annealing; smoothing operations; texture parameters;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Texture analysis in radar and sonar, IEE Seminar on
Conference_Location :
London
Type :
conf
Filename :
280150
Link To Document :
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