DocumentCode :
1738141
Title :
Application of the Karhunen-Loeve transform to aerial color image segmentation
Author :
Devaux, J.C. ; Gouton, P. ; Truchetet, F.
Author_Institution :
Bourgogne Univ., Dijon, France
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
373
Abstract :
The Karhunen-Loeve transform (KLT) is used to perform region-based segmentation of aerial color images from color and texture features. A region-based segmentation method is developed in the KL color image representation space and KLT is extended to texture analysis by the local linear transform (LLT). An algorithm to merge color and texture segmentations is presented in order to improve results
Keywords :
Karhunen-Loeve transforms; image colour analysis; image representation; image segmentation; image texture; Karhunen-Loeve transform; aerial color image segmentation; color image representation; local linear transform; region-based segmentation; texture segmentation; Classification algorithms; Color; Covariance matrix; Decorrelation; Eigenvalues and eigenfunctions; Energy measurement; Image segmentation; Image texture analysis; Karhunen-Loeve transforms; Q measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-6400-7
Type :
conf
DOI :
10.1109/KES.2000.885834
Filename :
885834
Link To Document :
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