A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is
In this paper we propose a rigorous framework for texture image segmentation relying on region-based active contours (RBAC) and sparse texture representation. Such representations allow to efficiently describe a texture by transforming it in a dictionary of appropriate waveforms (atoms) where the texture representation coefficients are concentrated on a small set. For segmentation purposes, these atoms have to be multiscale and localized both in space and frequency, e.g. the wavelet transform.doi:10.1109/icpr.2008.4761331 dblp:conf/icpr/LecellierFJRA08 fatcat:fs4hq4wrrfa5dgpwjeozr3eoxy