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Joint contrast optimization and object segmentation in active polarimetric images |
Optics Letters, Vol. 37, Issue 16, pp. 3321-3323 (2012)
http://dx.doi.org/10.1364/OL.37.003321
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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.
© 2012 Optical Society of America
OCIS Codes
(100.0100) Image processing : Image processing
(110.5405) Imaging systems : Polarimetric imaging
ToC Category:
Instrumentation, Measurement, and Metrology
History
Original Manuscript: May 21, 2012
Revised Manuscript: June 22, 2012
Manuscript Accepted: June 28, 2012
Published: August 6, 2012
Virtual Issues
Vol. 7, Iss. 10 Virtual Journal for Biomedical Optics
Citation
Guillaume Anna, Nicolas Bertaux, Frédéric Galland, François Goudail, and Daniel Dolfi, "Joint contrast optimization and object segmentation in active polarimetric images," Opt. Lett. 37, 3321-3323 (2012)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-37-16-3321
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