Fast Finsler Active Contours and Shape Prior Descriptor [chapter]

Foued Derraz, Abdelmalik Taleb-Ahmed, Laurent Peyrodie, Gerard Forzy, Christina Boydev
<span title="">2011</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this paper we proposed a new segmentation method based Fast Finsler Active Contours (FFAC). The FFAC is formulated in the Total Variation (TV) framework incorporating both region and shape descriptors. In the Finsler metrics, the anisotropic boundary descriptor favorites strong edge locations and suitable directions aligned with dark to bright image gradients. Strong edges are not required everywhere along. We prove the existence of a solution to the new binary Finsler active contours model
more &raquo; ... nd we propose a fast and easy algorithm in characteristic function framework. Finally, we show results on some MR challenging images to illustrate accurate.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-25085-9_22">doi:10.1007/978-3-642-25085-9_22</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c7e4y4inkvextak7bikvprzdlu">fatcat:c7e4y4inkvextak7bikvprzdlu</a> </span>
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