Results 21 to 30 of about 60,078 (257)
ESTIMATION OF TORTUOSITY AND RECONSTRUCTION OF GEODESIC PATHS IN 3D
Image Analysis and Stereology, 2013 The morphological tortuosity of a geodesic path in a medium can be defined as the ratio between its geodesic length and the Euclidean distance between its two extremities.
Charles Peyrega, Dominique Jeulin
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A 2.5D APPROACH TO SKIN WRINKLES SEGMENTATION
Image Analysis and Stereology, 2019 Wrinkles or creases are common structures on surfaces. Their detection is often challenging, and can be an important step for many different applications. For instance, skin wrinkle segmentation is a crucial step for quantifying changes in skin wrinkling
Etienne Decencière +7 more
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3D RECONSTRUCTION OF A MULTISCALE MICROSTRUCTURE BY ANISOTROPIC TESSELLATION MODELS
Image Analysis and Stereology, 2014 In the area of tessellation models, there is an intense activity to fully understand the classical models of Voronoi, Laguerre and Johnson-Mehl. Still, these models are all simulations of isotropic growth and are therefore limited to very simple and ...
Hellen Altendorf +4 more
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EIKONAL-BASED MODELS OF RANDOM TESSELLATIONS
Image Analysis and Stereology, 2019 In this article, we propose a novel, efficient method for computing a random tessellation from its vectorial representation at each voxel of a discretized domain.
Bruno Figliuzzi
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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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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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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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