Title :
Fuzzy spatial relations based on fuzzy morphology
Author_Institution :
Dept. of Comput. Eng. & Comput. Sci., Missouri Univ., Columbia, MO, USA
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;
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
DOI :
10.1109/FUZZY.1997.622875
