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Proceedings Paper

Multivalue image curvatures: application to color image denoising and feature detecting
Author(s): Benoit Tremblais; Bertrand Augereau; Michel Leard
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Paper Abstract

In the present work we modelize multi-values 2D images as surfaces embbeded in space-features space. Using the differential geometric framework we then introduce an original definition of multi-values image curvatures. First we use these curvatures to detect valleys and ridges in color images. Then we generate a new non-linear color scale space based on a mean curvature flow. It leads to a powerful tool for denoising color images.

Paper Details

Date Published: 28 May 2003
PDF: 8 pages
Proc. SPIE 5014, Image Processing: Algorithms and Systems II, (28 May 2003); doi: 10.1117/12.477753
Show Author Affiliations
Benoit Tremblais, Univ. de Poitiers (France)
Bertrand Augereau, Univ. de Poitiers (France)
Michel Leard, Univ. de Poitiers (France)


Published in SPIE Proceedings Vol. 5014:
Image Processing: Algorithms and Systems II
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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