Results 1 to 10 of about 59,947 (259)
MATHEMATICAL MORPHOLOGY IN THE CIELAB SPACE
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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MORPHOLOGICAL MODELING OF COLD SPRAY COATINGS
In this article, we study the microstructure of cold sprayed films of copper particles deposited onto a carbon fiber reinforced polymer. The microstructure of the coating is made of a packing of seemingly round-shaped particles of varying sizes embedded ...
Vincent Bortolussi +4 more
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ESTIMATION OF TORTUOSITY AND RECONSTRUCTION OF GEODESIC PATHS IN 3D
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
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
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
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
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
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
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
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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