DocumentCode
1742732
Title
Aerial colour image segmentation by Karhunen-Loeve transform
Author
Devaux, Jean-Christophe ; Gouton, Pierre ; Truchetet, Frédéic
Author_Institution
Bourgogne Univ., Dijon, France
Volume
1
fYear
2000
fDate
2000
Firstpage
309
Abstract
The Karhunen-Loeve transform (KLT) is used to perform region-based segmentation of aerial colour images from colour and texture features. A region-based segmentation method is developed in the KL colour image representation space and KLT is extended to texture analysis by local linear transform (LLT). An algorithm to merge colour and texture segmentation is presented in order to improve results
Keywords
Karhunen-Loeve transforms; cartography; geography; image colour analysis; image representation; image segmentation; image texture; remote sensing; KL colour image representation space; KLT; Karhunen-Loeve transform; LLT; aerial colour image segmentation; colour features; colour segmentation; local linear transform; region-based segmentation; region-based segmentation method; texture analysis; texture features; texture segmentation; Classification algorithms; Councils; Covariance matrix; Eigenvalues and eigenfunctions; Energy measurement; Image color analysis; Image segmentation; Image texture analysis; Karhunen-Loeve transforms; Q measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.905335
Filename
905335
Link To Document