Results 211 to 220 of about 60,078 (257)
Some of the next articles are maybe not open access.
Journal of Visual Communication and Image Representation, 1992
The original extension of binary mathematical morphology to the gray scale is based upon the lattice-theoretic supremum and infimum operations, its geometric genesis being framed in terms of the umbra transform. Abstract formulation of the mathematical theory is set in the context of complete lattices; nonetheless, as applied to the Euclidean gray ...
Divyendu Sinha, Edward R. Dougherty
openaire +1 more source
The original extension of binary mathematical morphology to the gray scale is based upon the lattice-theoretic supremum and infimum operations, its geometric genesis being framed in terms of the umbra transform. Abstract formulation of the mathematical theory is set in the context of complete lattices; nonetheless, as applied to the Euclidean gray ...
Divyendu Sinha, Edward R. Dougherty
openaire +1 more source
Hypercomplex Mathematical Morphology
Journal of Mathematical Imaging and Vision, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Spatially-Variant Mathematical Morphology
Proceedings of 1st International Conference on Image Processing, 1996In this paper, we present a comprehensive theory of spatially-variant (SV) mathematical morphology. A kernel representation of increasing operators in terms of the union (resp., intersection) of SV erosions (resp., SV dilations) is provided. A representation of algebraic openings (resp., algebraic closings) in terms of the union (resp., intersection ...
Mohammed Charif-Chefchaouni +1 more
openaire +1 more source
2013
Mathematical Morphology allows for the analysis and processing of geometrical structures using techniques based on the fields of set theory, lattice theory, topology, and random functions. It is the basis of morphological image processing, and finds applications in fields including digital image processing (DSP), as well as areas for graphs, surface ...
Najman, Laurent, Talbot, Hugues
openaire +3 more sources
Mathematical Morphology allows for the analysis and processing of geometrical structures using techniques based on the fields of set theory, lattice theory, topology, and random functions. It is the basis of morphological image processing, and finds applications in fields including digital image processing (DSP), as well as areas for graphs, surface ...
Najman, Laurent, Talbot, Hugues
openaire +3 more sources
Geography, Mathematics and Mathematical Morphology
2013Mathematical Morphology (MM) has been introduced in geographical sciences during the years 1970-1980. However it did not find the same echo in the geographer community according the areas of research. Unlike remote sensing where MM tools have been used as early as in the eighties and are nowadays widespread, in the research works resorting to spatial ...
openaire +1 more source
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 ...
openaire +2 more sources
2002
Mathematical morphology is a powerful methodology for processing and analysing the shape and form of objects in images. The advances in this area of science allow for application in the digital recognition and modeling of faces and other objects by computers. Mathematical Morphology is comprehensive work that provides a broad sampling
Hugues Talbot, Richard Beare
openaire +1 more source
Mathematical morphology is a powerful methodology for processing and analysing the shape and form of objects in images. The advances in this area of science allow for application in the digital recognition and modeling of faces and other objects by computers. Mathematical Morphology is comprehensive work that provides a broad sampling
Hugues Talbot, Richard Beare
openaire +1 more source
ANALYTICAL MORPHOLOGY: MATHEMATICAL MORPHOLOGY OF DECISION TABLES
Fundamenta Informaticae, 1996We propose a method called analytical morphology for data filtering. The method was created on the basis of some ideas of rough set theory and mathematical morphology. Mathematical morphology makes an essential use of geometric structure of objects while the aim of our method is to provide tools for data filtering when there is no directly available ...
Andrzej Skowron, Lech Polkowski
openaire +2 more sources
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.
openaire +1 more source
Microarray gridding by mathematical morphology
Proceedings XIV Brazilian Symposium on Computer Graphics and Image Processing, 2002DNA chips (i.e., microarrays) biotechnology is a hybridization (i.e., DNA matching) based process that makes it possible to quantify the relative abundance of mRNA from two distinct samples by analysing their fluorescence signals. This technique requires robotic placement (i.e., spotting) of thousands of cDNAs (i.e., complementary DNA) in an array ...
Roberto Hirata Jr. +3 more
openaire +1 more source