Results 21 to 30 of about 4,102,252 (349)
Hyperspectral Image Classification Based on Mathematical Morphology and Tensor Decomposition
Mathematical Morphology - Theory and Applications, 2020 Hyperspectral Image (HSI) classification refers to classifying hyperspectral data into features, where labels are given to pixels sharing the same features, distinguishing the present materials of the scene from one another.
Mohamad Jouni, M. Mura, P. Comon
semanticscholar +1 more source
MORPHOLOGICAL MODELING OF COLD SPRAY COATINGS
Image Analysis and Stereology, 2018 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
doaj +1 more source
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
doaj +1 more source
N-ary Mathematical Morphology [PDF]
Mathematical Morphology - Theory and Applications, 2015 Abstract Mathematical morphology on binary images can be fully described by set theory. However, it is not sufficient to formulate mathematical morphology for grey scale images. This type of images requires the introduction of the notion of partial order of grey levels, together with the definition of sup and inf operators.
Chevallier, Emmanuel +2 more
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
SAR Image Change Detection Based on Mathematical Morphology and the K-Means Clustering Algorithm
IEEE Access, 2019 Synthetic aperture radar (SAR) images have been applied in disaster monitoring and environmental monitoring. With the objective of reducing the effect of noise on SAR image change detection, this paper presents an approach based on mathematical ...
Luyang Liu +3 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source