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Principles of Mathematical Morphology
1988Mathematical Morphology is introduced as a method Image Analysis based on set theory. Two examples are treated in detail, in order to exhibit sequences of operations. Emphasis is put on the progressive loss of information. The concept of a morphological filter is then presented.
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Fuzzy connectivity and mathematical morphology
Pattern Recognition Letters, 1993Summary: We prove an equivalence between the degree of connectedness defined for fuzzy sets and the connection cost defined in the grey-level mathematical morphology framework, starting from the definitions and properties of both concepts.
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Mathematical morphology on l-images
Signal Processing, 1992Abstract In most applications, morphological operations are considered as unary operations, each associated with a structuring element. Due to the problem of grey-level overflow, the associated structuring elements of morphological operations on grey-level images (functions from R n or Z n to [0, m], where m is a fixed positive number) are ...
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Ternary Blend Organic Solar Cells: Understanding the Morphology from Recent Progress
Advanced Materials, 2022Xiaopeng Xu, Qiang Peng, Qiang Peng
exaly
Morphological Scale Space and Mathematical Morphology
1999It is well known that a conveniently rescaled iterated convolution of a linear positive kernel converges to a Gaussian. Therefore, all iterative linear smoothing methods of a signal or an image boils down to the application to the signal of the Heat Equation.
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Intuitionistic fuzzy set and fuzzy mathematical morphology applied to color leukocytes segmentation
Signal, Image and Video Processing, 2019A. Bouchet+3 more
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Mathematical Morphology and Its Applications to Signal and Image Processing
Lecture Notes in Computer Science, 2019B. Burgeth+4 more
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