HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

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.
Document type :
Journal articles
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download

Contributor : Fatima Pereira Connect in order to contact the contributor
Submitted on : Tuesday, October 30, 2012 - 4:24:58 PM
Last modification on : Monday, April 4, 2022 - 10:40:39 AM
Long-term archiving on: : Thursday, January 31, 2013 - 3:48:13 AM


Publisher files allowed on an open archive


  • 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⟩



Record views


Files downloads