Minimum Description Length segmentation adapted to different image sensors

Details Minimum Description Length segmentation adapted to different image sensors Minimum Description Length segmentation adapted to different image sensors

Nov 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004spie.5611....1r&link_type=abstract

Unmanned/Unattended Sensors and Sensor Networks. Edited by Carapezza, Edward M. Proceedings of the SPIE, Volume 5611, pp. 1-1

Computer Science

Information Theory

Scientific paper

Determining the shape of one or several objects in an image is a fundamental task for many imaging systems. We propose here a general review of new techniques based on the information theory principles, which allows one to determine segmentation techniques without parameter to be tuned by the user. These techniques are quite general since they include, polygonal and spline parametric shape descriptions, level set models of contour and homogeneous partition of images. This approach can take into account the physical nature of the grey level fluctuations and is thus adapted to different new imaging systems. Furthermore, it can lead to fast algorithms (from a few hundred of ms to a few seconds depending on the complexity of the task to perform on 256 x 256 pixel images).

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