PICASSO 2: a system for performance evaluation of image processing methods

Authors:
I. V. Gribkov;P. P. Koltsov;N. V. Kotovich;A. A. Kravchenko;A. S. Koutsaev;A. S. Osipov;A. V. Zakharov
Affiliations:
Scientific Research Institute for System Studies, Russian Academy of Sciences, NIISI RAN, Moscow, Russia;Scientific Research Institute for System Studies, Russian Academy of Sciences, NIISI RAN, Moscow, Russia;Scientific Research Institute for System Studies, Russian Academy of Sciences, NIISI RAN, Moscow, Russia;Scientific Research Institute for System Studies, Russian Academy of Sciences, NIISI RAN, Moscow, Russia;Scientific Research Institute for System Studies, Russian Academy of Sciences, NIISI RAN, Moscow, Russia;Scientific Research Institute for System Studies, Russian Academy of Sciences, NIISI RAN, Moscow, Russia;Scientific Research Institute for System Studies, Russian Academy of Sciences, NIISI RAN, Moscow, Russia
Venue:
ISCGAV'05 Proceedings of the 5th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Year:
2005

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Abstract

The new version of the system for a comparative study of image processing algorithms named PICASSO 2 is presented. We demonstrate its use in comparative evaluation of three energy minimizing methods (by Mumford-Shah, Geman-Reynolds and the method with piecewise-linear energy minimizing function). The testing includes quantitative and qualitative estimation of noise reduction property. Also three methods for segmenting an image into textured and nontextured regions are tested by using PICASSO 2.