Title :
Using a fuzzy morphological structural element for image segmentation
Author :
Sobrevilla, P. ; Montseny, E. ; Keller, J.
Author_Institution :
Dept. of Appl. Math. II, Univ. Politecnica de Catalunya, Barcelona, Spain
Abstract :
Management of uncertainty is an important problem in the development of automated systems for scene interpretation, particularly in image segmentation algorithms. In this paper a fuzzy-based morphological structural element is introduced to be used in image segmentation based on pixel classification, with the aim to reduce uncertainty problems. The shape, size and structure of this type of element have been defined in order to reduce pixel misclassifications providing boundaries among regions as accurately as possible
Keywords :
computer vision; fuzzy set theory; image classification; image segmentation; uncertainty handling; computer vision; fuzzy morphological structural element; fuzzy set theory; image segmentation; pixel classification; scene interpretation; uncertainty management; Computer vision; Fuzzy sets; Image analysis; Image segmentation; Layout; Merging; Performance analysis; Performance evaluation; Pixel; Uncertainty;
Conference_Titel :
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-6274-8
DOI :
10.1109/NAFIPS.2000.877395
