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Joint contrast optimization and object segmentation in active polarimetric images

Abstract : We present a method for automatic target detection based on the iterative interplay between an active polarimetric imager with adaptive capabilities and a snake-based image segmentation algorithm. It successfully addresses the difficult situations where the target and the background differ only by their polarimetric properties. This method illustrates the benefits of integrating digital processing algorithms at the heart of the image acquisition process rather than using them only for postprocessing.
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Submitted on : Tuesday, October 30, 2012 - 4:24:58 PM
Last modification on : Sunday, June 26, 2022 - 11:57:18 AM
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  • HAL Id : hal-00747209, version 1



Guillaume Anna, Nicolas Bertaux, Frédéric Galland, François Goudail, Daniel Dolfi. Joint contrast optimization and object segmentation in active polarimetric images. Optics Letters, Optical Society of America - OSA Publishing, 2012, 37 (16), pp.3321-3323. ⟨hal-00747209⟩



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