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Author Xu, Yongchao ♦ Najman, Laurent
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Description Many methods relying on the morphological notion of shapes, (i.e., connected components of level sets) have been proved to be very useful for pattern analysis and recogni-tion. Selecting meaningful level lines (boundaries of level sets) yields to simplify images while preserving salient struc-tures. Many image simplification and/or segmentation meth-ods are driven by the optimization of an energy functional, for instance the Mumford-Shah functional. In this article, we propose an efficient shape-based morphological filtering that very quickly compute to a locally (subordinated to the tree of shapes) optimal solution of the piecewise-constant Mumford-Shah functional. Experimental results demonstrate the effi-ciency, usefulness, and robustness of our method, when ap-plied to image simplification, pre-segmentation, and detection of affine regions with viewpoint changes.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2013-01-01
Publisher Institution In: Proc. of ICIP ♦ Universite ́ Paris-est