Multivalue image curvatures: application to color image denoising and feature detecting

Benoit Tremblais; Bertrand Augereau; Michel Leard

doi:10.1117/12.477753

28 May 2003 Multivalue image curvatures: application to color image denoising and feature detecting

Benoit Tremblais, Bertrand Augereau, Michel Leard

Proceedings Volume 5014, Image Processing: Algorithms and Systems II; (2003) https://doi.org/10.1117/12.477753
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

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.

Citation Download Citation

Benoit Tremblais, Bertrand Augereau, and Michel Leard "Multivalue image curvatures: application to color image denoising and feature detecting", Proc. SPIE 5014, Image Processing: Algorithms and Systems II, (28 May 2003); https://doi.org/10.1117/12.477753

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