DocumentCode
315954
Title
Fuzzy spatial relations based on fuzzy morphology
Author
Gader, Paul D.
Author_Institution
Dept. of Comput. Eng. & Comput. Sci., Missouri Univ., Columbia, MO, USA
Volume
2
fYear
1997
fDate
1-5 Jul 1997
Firstpage
1179
Abstract
A novel method for computing fuzzy spatial relationships between regions in digital images is derived. The derivation is based on fuzzy mathematical morphology. The approach is to generalize the standard method of computing spatial relationships in binary morphology via a fuzzification of morphology based on the extension principle. The approach is compared to the aggregation method of Krishnapuram, Keller, and Ma (1993)
Keywords
fuzzy set theory; image segmentation; mathematical morphology; binary morphology; digital image regions; fuzzy morphology; fuzzy spatial relationships; Arithmetic; Computer science; Data mining; Digital images; Fuzzy sets; Image analysis; Image processing; Joining processes; Morphology; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location
Barcelona
Print_ISBN
0-7803-3796-4
Type
conf
DOI
10.1109/FUZZY.1997.622875
Filename
622875
Link To Document