Optical implementation of a snake-based segmentation with an incoherent correlator

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4387, Issue , 2001, Pages 87-94

  Hueber, E ^a   Bigue L ^a   Refregier P ^b   Ambs, P ^a  

^a UNIVERSITÉ DE HAUTE ALSACE   (France)

^b AIX MARSEILLE UNIVERSITÉ   (France)

Author keywords

Active contours; Image segmentation; Incoherent optical correlation; Snakes

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; OPTICAL CORRELATION; OPTOELECTRONIC DEVICES; PATTERN RECOGNITION;

OPTOELECTRONIC PROCESSORS;

IMAGE SEGMENTATION;

EID: 0034945853     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.421128     Document Type: Article

References (13)

1. Signal detection by complex filtering
2. Optical image segmentation using neural-based wavelet filtering techniques
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4. Micro-optical multiwavelet element for hybrid texture segmentation processor
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6. Optimal snake-based segmentation of a random iuminance target on a spatially disjoint background
7. Tutorial survey of composite filter designs for optical correlators
8. Region-based strategies for active contour models
9. Robust tracking of stochastic deformable models in long image sequences
10. Statistical region snake-based segmentation adapted to different physical noise models
11. Optimal snake segmentation of target and background with independent Gamma density probabilities, application to speckled and preprocessed images
12. Implementation of arbitrary real-valued correlation filters for the shadowcasting incoherent correlator