| Autor: |
Kacprzyk, Janusz, Nachtegael, Mike, Van der Weken, Dietrich, Kerre, Etienne E., Philips, Wilfried, Popov, Antony T. |
| Zdroj: |
Soft Computing in Image Processing; 2007, p353-381, 29p |
| Abstrakt: |
Fuzzy mathematical morphology has been developed to soften the classical binary morphology so as to make the operators less sensitive to image imprecision. It can also be viewed simply as an alternative grey-scale morphological theory. In this work a generalized approach for constructing dilation-erosion adjunctions on fuzzy sets is presented. Some applications in the field of computation with uncertainties are given, more precisely in the interval arithmetic and the calculations with fuzzy numbers. Applications to image segmentation are presented as well, such as colour image processing, geodesic operations and reconstruction, texture analysis through calculation of fractal dimension. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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