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Principles of Mathematical Morphology

1988
Mathematical 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, 1993
Summary: 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, 1992
Abstract 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, 2022
Xiaopeng Xu, Qiang Peng, Qiang Peng
exaly  

Graph Mathematical Morphology

2022
Rahisha Thottolil, Uttam Kumar
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Morphological Scale Space and Mathematical Morphology

1999
It 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, 2019
A. Bouchet   +3 more
semanticscholar   +1 more source

Mathematical Morphology and Its Applications to Signal and Image Processing

Lecture Notes in Computer Science, 2019
B. Burgeth   +4 more
semanticscholar   +1 more source

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