Title
Fuzzy Mathematical Morphology and Applications in Image Processing
Abstract
Fuzzy Mathematical Morphology extends binary morphological operators to grayscale and color images using concepts from fuzzy logic. To define the morphological operators of erosion and fuzzy dilation, the R-implications and fuzzy T-norm respectively are used. This work presents the application of the fuzzy morphological operators of Lukasiewicz, Godel and Goguen and of the epsilon and delta functions of Weber and Fodor in the counting of mycorrhizal fungi spores.
Year
DOI
Venue
2020
10.1007/978-3-030-81561-5_4
FUZZY INFORMATION PROCESSING 2020
Keywords
DocType
Volume
Fuzzy mathematical morphology, Fuzzy logic, Counting, Mycorrhizal
Conference
1337
ISSN
Citations 
PageRank 
2194-5357
0
0.34
References 
Authors
0
4