Results 31 to 40 of about 55,479 (303)
Nonscalar Mathematical Morphology
, 2017 Mathematical morphology is not always straightforward to generalize to situations where values in an image do not admit a natural total order. This mostly due to the limitations of the underlying formalism. Three state-of-the-art solutions for bypassing those limitations are discussed, with example applications ranging from color images interpreted as ...
Jos B. T. M. Roerdink +1 more
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Riemannian mathematical morphology [PDF]
Pattern Recognition Letters, 2014 This paper introduces mathematical morphology operators for real-valued images whose support space is a Riemannian manifold. The starting point consists in replacing the Euclidean distance in the canonical quadratic structuring function by the Riemannian distance used for the adjoint dilation/erosion. We then extend the canonical case to a most general
Angulo, Jesus, Velasco-Forero, Santiago
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Color Image Indexing Using Mathematical Morphology
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2014 A mathematical morphology based approach for color image indexing is explored in this paper. Morphological signatures are powerful descriptions of the image content in the framework of mathematical morphology.
Zaharescu Eugen
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 At present, deep learning is a hot topic in the field of the classification of hyperspectral image (HSI), and it has aroused wide attention. However, in fine-grained classification tasks, such as tree species classification, the uncertain spectrum ...
Zhengqi Guo +4 more
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Decrypting cancer's spatial code: from single cells to tissue niches
Molecular Oncology, EarlyView.Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source
Microgrid Islanding Detection Based on Mathematical Morphology
Energies, 2018 Voltage and frequency stability are highly important for reliable performance of smart grids. In grid-connected mode, the utility controls these parameters, but when islanding occurs these parameters exceed their limits, which may result in irreparable ...
Fatemeh Ghalavand +3 more
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Understanding and measuring mechanical signals in the tumor stroma
FEBS Open Bio, EarlyView.This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz +3 more
wiley +1 more source
MATHEMATICAL MORPHOLOGY BASED CHARACTERIZATION OF BINARY IMAGE
Image Analysis and Stereology, 2015 This paper reports the results of a theoretical study on morphological characterization of foreground (X) and background (Xc) of a discrete binary image. Erosion asymmetry and dilation asymmetry, defined to elaborate smoothing of an image respectively by
Raghvendra Sharma, B. S. Daya Sagar
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On Nonlocal Mathematical Morphology [PDF]
, 2013 In this paper, nonlocal mathematical morphology operators are introduced as a natural extension of nonlocal-means in the max-plus algebra. Firstly, we show that nonlocal morphology is a particular case of adaptive morphology. Secondly, we present the necessary properties to have algebraic properties on the associated pair of transformations.
Santiago Velasco-Forero, Jesús Angulo
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Spinocerebellar ataxias (SCAs) are a group of genetically heterogeneous neurodegenerative diseases causing progressive deterioration and reduced quality of life. Therapeutic advances have been limited by a lack of sensitive anatomic, functional, or diffusion imaging‐based biomarkers.
David J. Arpin +11 more
wiley +1 more source