Aerial colour image segmentation by Karhunen-Loeve transform

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...

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Bibliographic Details
Published inProceedings 15th International Conference on Pattern Recognition. ICPR-2000 Vol. 1; pp. 309 - 312 vol.1
Main Authors Devaux, J.-C., Gouton, P., Truchetet, F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2000
Subjects
Classification algorithms
Councils
Covariance matrix
Eigenvalues and eigenfunctions
Energy measurement
Image color analysis
Image segmentation
Image texture analysis
Karhunen-Loeve transforms
Q measurement
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Summary: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.
ISBN:0769507506
9780769507507
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2000.905335