Title :
Fuzzy border distance transforms and their use in 2D skeletonization
Author :
Borgefors, Gunilla ; Svensson, Stina
Author_Institution :
Centre for Image Anal., Swedish Univ. of Agric. Sci., Uppsala, Sweden
Abstract :
Segmentation is always a difficult task in image analysis. In this paper, we propose a solution to computing distance transforms in images with fuzzy object borders. The difference from a standard distance transform is in the initialisation, which takes the fuzziness of the border into account. As an example of its usefulness, the new fuzzy border distance transform is used in skeletonization.
Keywords :
fuzzy set theory; image segmentation; image thinning; transforms; 2D skeletonization; fuzzy border distance transforms; fuzzy object borders; image analysis; image segmentation; Biomedical imaging; Cities and towns; Geometry; H infinity control; Image edge detection; Image segmentation; Pixel; Shape; Uncertainty;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1044643