Testing of image segmentation 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, Moscow, Russian Federation;Scientific Research Institute for System Studies, Russian Academy of Sciences, Moscow, Russian Federation;Scientific Research Institute for System Studies, Russian Academy of Sciences, Moscow, Russian Federation;Scientific Research Institute for System Studies, Russian Academy of Sciences, Moscow, Russian Federation;Scientific Research Institute for System Studies, Russian Academy of Sciences, Moscow, Russian Federation;Scientific Research Institute for System Studies, Russian Academy of Sciences, Moscow, Russian Federation;Scientific Research Institute for System Studies, Russian Academy of Sciences, Moscow, Russian Federation
Venue:
WSEAS Transactions on Signal Processing
Year:
2008

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Abstract

Digital image segmentation is broadly used in various image processing tasks. A large amount of image segmentation methods gives rise to the problem of of method's choice, most adequate for practical purposes. In this paper, we develop an approach which allows quantitative and qualitative estimation of segmentation programs. It consists in modeling both difficult and typical situations in image segmentation tasks using special sets of artificial test images. The description of test images and testing procedures are given. Our approach clears up specific features and applicability limits of four segmentation methods under examination.