
doi: 10.2991/.2013.2
handle: 11336/96147
Mathematical Morphology is a theory based on geometry, algebra, topology and set theory, with strong application to digital image processing. This theory is characterized by two basic operators: dilation and erosion. In this work we redefine these operators based on compensatory fuzzy logic using a linguistic definition, compatible with previous definitions of Fuzzy Mathematical Morphology. A comparison to previous definitions is presented, assessing robustness against noise.
https://purl.org/becyt/ford/2.2, MATHEMATICAL MORPHOLOGY, https://purl.org/becyt/ford/1.1, COMPENSATORY FUZZY LOGIC, FUZZY LOGIC, FUZZY MATHEMATICAL MORPHOLOGY, https://purl.org/becyt/ford/2, https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/2.2, MATHEMATICAL MORPHOLOGY, https://purl.org/becyt/ford/1.1, COMPENSATORY FUZZY LOGIC, FUZZY LOGIC, FUZZY MATHEMATICAL MORPHOLOGY, https://purl.org/becyt/ford/2, https://purl.org/becyt/ford/1
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