Pattern Recognition Letters
Measurements of digitized objects with fuzzy borders in 2D and 3D
Image and Vision Computing
Estimation of moments of digitized objects with fuzzy borders
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Feature based defuzzification at increased spatial resolution
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
Deterministic Defuzzification Based on Spectral Projected Gradient Optimization
Proceedings of the 30th DAGM symposium on Pattern Recognition
Defuzzification of spatial fuzzy sets by feature distance minimization
Image and Vision Computing
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A defuzzification method based on feature distance minimization is further improved by incorporating into the distance function feature values measured on object representations at different scales It is noticed that such an approach can improve defuzzification results by better preserving the properties of a fuzzy set; area preservation at scales in-between local (pixel-size) and global (the whole object) provides that characteristics of the fuzzy object are more appropriately exhibited in the defuzzification For the purpose of comparing sets of different resolution, we propose a feature vector representation of a (fuzzy and crisp) set, utilizing a resolution pyramid The distance measure is accordingly adjusted The defuzzification method is extended to the 3D case Illustrative examples are given.