6533b82afe1ef96bd128b625
RESEARCH PRODUCT
Karhunen-Loe`ve transform applied to region-based segmentation of color aerial images
J.c. DevauxPierre GoutonFrederic Truchetetsubject
Color histogramContextual image classificationColor imagebusiness.industryComputer scienceGeneral EngineeringScale-space segmentationImage processingImage segmentationAtomic and Molecular Physics and OpticsImage textureRGB color modelComputer visionSegmentationArtificial intelligencebusinessdescription
The use of the Karhunen-Loeve transform (KLT) for region- based segmentation of aerial images by color and textural attributes is presented. Our aerial images are shown to be homogeneous color im- ages within the Karhunen-Loeve color representation space, which means they can be represented more easily and the region-based seg- mentation algorithms can be optimized. For texture analysis, the KLT is the basis of the local linear transform (LLT) and allows structural infor- mation about textures to be represented in an optimal and condensed manner. The LLT provides a system of textural analysis in the form of an adapted filter bank. We end the paper by presenting a method for merg- ing texture and color segmentations. © 2001 Society of Photo-Optical Instrumen- tation Engineers. (DOI: 10.1117/1.1385166) Subject terms: image processing; aerial color images; Karhunen-Loeve trans- form; region-based segmentation; textural analysis; local linear transform; coop- erative segmentation.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2001-07-01 | Optical Engineering |