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A general framework for designing image processing algorithms for coherent polarimetric images

9 years 11 months ago
A general framework for designing image processing algorithms for coherent polarimetric images
We describe a general framework to design optimal image processing algorithms for polarimetric images formed with coherent radiations, which can be optical or microwave. Starting from the classical speckle model for coherent signals, we show that a wide class of algorithms to perform such tasks as detection, localization and segmentation depend on a simple statistics, which is the determinant of the coherency matrix estimated on a given region of the image. We use this property to design computationally efficient techniques for target/edge detection and image segmentation using statistical active contours and the Minimum Description Length principle.
François Goudail, Frédéric Ga
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where ICIP
Authors François Goudail, Frédéric Galland, Philippe Réfrégier
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