Feature based defuzzification at increased spatial resolution

Authors:
Joakim Lindblad;Nataša Sladoje
Affiliations:
Centre for Image Analysis, Swedish University of Agricultural Sciences, Uppsala, Sweden;Faculty of Engineering, University of Novi Sad, Novi Sad, Serbia and Montenegro
Venue:
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
Year:
2006

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Abstract

Defuzzification of fuzzy spatial sets by feature distance minimization, recently proposed as an alternative to crisp segmentation, is studied further. Fully utilizing information available in a fuzzy (discrete) representation of a continuous shape, we present an improved defuzzification method, such that the crisp discrete representation of a fuzzy set is generated at an increased spatial resolution, compared to the resolution of the fuzzy set. The correspondence between a fuzzy and a crisp set is established through a distance between their representations based on selected features, where the different resolutions of the images to compare are taken into account. The performance of the method is tested on both synthetic and real images.