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

fYear

2000

fDate

2000

Firstpage

95

Lastpage

99

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/NAFIPS.2000.877395

Filename

877395