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Segmentation d'images par contour actif: implantation optique avec un corrélateur incohérent ombroscopique

Abstract : We propose to implement a prototype optoelectronical processor aimed at
segmenting real images using active contours. Our segmentation process
is based on statistical iterative algorithms which requires numerous
correlation operations. As a first contribution, we adapted them to an
optical setup in order to benefit from the rapidity of optical
correlation.

We implemented an incoherent shadow casting correlator which provides
true correlation measurements while using nematic twisted spatial light
modulators to display images . The results have validated this
optoelectronic approach to active contour segmentation.

Then, to accelerate the process we exploited the parallel processing
capacities inherent in optical systems. The multichannel configuration
thus improves the segmentation speed.

This work opens new fields of application for optoelectronic processors
in description operations and highlights the high processing performance
of incoherent correlators ised as parallel calculator
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https://tel.archives-ouvertes.fr/tel-00002984
Contributor : Eric Hueber <>
Submitted on : Wednesday, June 11, 2003 - 5:27:35 PM
Last modification on : Wednesday, July 22, 2020 - 4:04:02 PM
Long-term archiving on: : Friday, April 2, 2010 - 6:39:16 PM

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Eric Hueber. Segmentation d'images par contour actif: implantation optique avec un corrélateur incohérent ombroscopique. Autre [cs.OH]. Université de Haute Alsace - Mulhouse, 2002. Français. ⟨tel-00002984⟩

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