DocumentCode :
2069072
Title :
A robust non-iterative method for image labelling using context
Author :
Dellepiane, Silvana ; Fontana, Franco ; Vernazza, Gianni
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Volume :
2
fYear :
1994
fDate :
13-16 Nov 1994
Firstpage :
207
Abstract :
An innovative approach is proposed to overcome the usual drawbacks of computation complexity and insufficient robustness that affect most of contextual image segmentation techniques. Through the definition of a new connectivity measure for fuzzy image subsets, a transformation of the original set of grey levels is performed that makes it simpler to outline region boundaries. It is demonstrated that there is no need of iterations to efficiently propagate global contextual information. Some results are presented that prove the effectiveness of the method
Keywords :
fuzzy set theory; image segmentation; image sequences; connectivity measure; contextual image segmentation; fuzzy image subsets; global contextual information; grey levels transformation; image labelling; image sequence; region boundaries; robust non-iterative method; Fuzzy sets; Image segmentation; Joining processes; Labeling; Markov random fields; Performance evaluation; Pixel; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
Type :
conf
DOI :
10.1109/ICIP.1994.413561
Filename :
413561
Link To Document :
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