Application of the Karhunen-Loeve transform to aerial color image segmentation

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 (LL...

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Bibliographische Detailangaben
Hauptverfasser:	Devaux, J.C., Gouton, P., Truchetet, F.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Classification algorithms Color Covariance matrix Decorrelation Eigenvalues and eigenfunctions Energy measurement Image segmentation Image texture analysis Karhunen-Loeve transforms Q measurement
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Beschreibung
Zusammenfassung:	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.
DOI:	10.1109/KES.2000.885834