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Volumn 41, Issue 5, 2002, Pages 874-883

Target segmentation in active polarimetric images by use of statistical active contours

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ELECTROMAGNETIC WAVE BACKSCATTERING; IMAGING TECHNIQUES; LIGHT POLARIZATION; POLARIMETERS; SPECKLE;

EID: 0036300262     PISSN: 1559128X     EISSN: 21553165     Source Type: Journal    
DOI: 10.1364/AO.41.000874     Document Type: Article
Times cited : (15)

References (13)
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  • 2
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  • 3
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    • T. J. Schulz, ed., Proc. SPIE
    • R. A. Chipman, “Polarization diversity active imaging, ” in Image Reconstruction and Restoration II, T. J. Schulz, ed., Proc. SPIE 3170, 68-73 (1997).
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    • Chipman, R.A.1
  • 5
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    • Modeling and performances of a polarization active imager at lambda = 806 nm
    • G. W. Kamerman and C. Werner, eds., Proc. SPIE
    • S. Breugnot and Ph. Clemenceau, “Modeling and performances of a polarization active imager at lambda = 806 nm, ” in Laser Radar Technology and Applications IV, G. W. Kamerman and C. Werner, eds., Proc. SPIE 3707, 449-460 (1999).
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    • Breugnot, S.1    Clemenceau, P.H.2
  • 6
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    • The speckle effect in coherent imaging
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    • Goodman, J.W.1
  • 7
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    • Optimal snake-based segmentation of a random luminance target on a spatially disjoint background
    • O. Germain and Ph. Refregier, “Optimal snake-based segmentation of a random luminance target on a spatially disjoint background, ” Opt. Lett. 21, 1845-1847 (1996).
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    • Germain, O.1    Refregier, P.H.2
  • 8
    • 0033220860 scopus 로고    scopus 로고
    • Statistical region snake-based segmentation adapted to different physical noise models
    • C. Chesnaud, Ph. Re fregier, and V. Boulet, “Statistical region snake-based segmentation adapted to different physical noise models, ” IEEE Trans. Pattern. Anal. Mach. Intell. 21, 1145-1157 (1999).
    • (1999) IEEE Trans. Pattern. Anal. Mach. Intell. , vol.21 , pp. 1145-1157
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  • 9
    • 0031139975 scopus 로고    scopus 로고
    • Optimal snake segmentation of target and background with independent gamma density probabilities, application to speckled and preprocessed images
    • Ph. Refregier, O. Germain, and T. Gaidon, “Optimal snake segmentation of target and background with independent gamma density probabilities, application to speckled and preprocessed images, ” Opt. Commun. 137, 382-388 (1997).
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  • 10
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    • Snake-based method for the segmentation of objects in multichannel images degraded by speckle
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.