Results 31 to 40 of about 2,669,186 (245)
MATHEMATICAL MORPHOLOGY IN THE CIELAB SPACE
Image Analysis and Stereology, 2011 The use of mathematical morphology in the CIE L*a*b* colour space is discussed. It is possible to impose a total order on the colour vectors in this space by using a weighting function and lexicographical order.
Allan Hanbury, Jean Serra
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Mathematical morphology and poset geometry
International Journal of Mathematics and Mathematical Sciences, 2001 The aim of this paper is to characterize morphological convex geometries (resp., antimatroids). We define these two structures by using closure operators, and kernel operators. We show that these convex geometries are equivalent to poset geometries.
Alain Bretto, Enzo Maria Li Marzi
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Roots and Lexicality in Distributed Morphology [PDF]
, 2012 Fifth York-Essex Morphology Meeting (YEMM), 9th February and 10th February 2008, Department of Language and Linguistic Science, University of YorkThis paper examines the nature and content of morphological roots in relation to their syntactic context. A
Acquaviva, Paolo
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MULTISCALE IMAGE ANALYSIS BASED ON ROBUST AND ADAPTIVE MORPHOLOGICAL SCALE-SPACES
Image Analysis and Stereology, 2014 Mathematical morphology is a powerful tool for image analysis; however, classical morphological operators suffer from lacks of robustness against noise, and also intrinsic image features are not accounted at all in the process.
El Hadji Samba Diop, Jesus Angulo
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K-statistical operators for set mathematical morphology
Revista Facultad de Ingeniería Universidad de Antioquia, 2013 A generalization of the basic operators in mathematical morphology is presented in this paper. The resulting generalization lead to the construction of the k-statistical operators, due to its ability to obtain geometricaly the statistical descriptors ...
Juan Santiago Díaz de León +3 more
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Hybrid morphological-convolutional neural networks for computer-aided diagnosis
Frontiers in Artificial Intelligence, 2023 Training deep Convolutional Neural Networks (CNNs) presents challenges in terms of memory requirements and computational resources, often resulting in issues such as model overfitting and lack of generalization.
Martha Rebeca Canales-Fiscal +1 more
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Hausdorff distances between distributions using optimal transport and mathematical morphology
, 2017 Lecture Notes in Computer Science, Vol. 9082In this paper we address the question of defining and computing Hausdorff distances between distributions in a general sense. We exhibit some links between Prokhorov-Lévy distances and dilation-based distances.
Bloch, Isabelle, Atif, Jamal
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, 2015 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Mathematical morphology (MM) offers a wide range of tools for image processing and computer vision.
Sussner, Peter +4 more
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Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
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Composite morphological structural element in the edge detecting
Journal of Education, Health and Sport, 2017 Rajs Arkadiusz, Aleksiewicz Mariusz, Goździewska-Nowicka Agnieszka, Parczyk Krystyna. Composite morphological structural element in the edge detecting. Journal of Education, Health and Sport. 2016;6(11):299-304. eISSN 2391-8306.
Arkadiusz Rajs +3 more
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