title: 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.
authors: Laboratoire Charles Fabry, UMR 8501, Institut d’Optique, CNRS, Université Paris Sud 11, 91127 Palaiseau, France.
authors: Guillaume
authors: G
authors: Anna
authors: Nicolas
authors: N
authors: Bertaux
authors: Frédéric
authors: F
authors: Galland
authors: François
authors: F
authors: Goudail
authors: Daniel
authors: D
authors: Dolfi
mesh_terms: D000465:Algorithms; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D012031:Refractometry / Q000379:methods*; D015203:Reproducibility of Results; D057109:Scanning Laser Polarimetry / Q000379:methods*; D012680:Sensitivity and Specificity