论文信息 - Joint contrast optimization and object segmentation in active polarimetric images.

Joint contrast optimization and object segmentation in active polarimetric images.

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.

Frédéric Galland | François Goudail | Nicolas Bertaux | Daniel Dolfi | Guillaume Anna

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