Results 11 to 20 of about 61,168 (309)
A multi-parameter persistence framework for mathematical morphology [PDF]
Scientific Reports, 2022 The field of mathematical morphology offers well-studied techniques for image processing and is applicable for studies ranging from materials science to ecological pattern formation.
Yu-Min Chung, Sarah Day, Chuan-Shen Hu
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Study on a Novel Fault Damage Degree Identification Method Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy [PDF]
Entropy, 2018 A damage degree identification method based on high-order difference mathematical morphology gradient spectrum entropy (HMGSEDI) is proposed in this paper to solve the problem that fault signal of rolling bearings are weak and difficult to be ...
Huimin Zhao +5 more
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Near-Infrared Blood Vessel Image Segmentation Using Background Subtraction and Improved Mathematical Morphology. [PDF]
Bioengineering (Basel), 2023 Li L +6 more
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Mineral granulometric analysis using mathematical morphology
Revista Tecnologia, 2011 The most accurate granulometric analysis techniques present some disadvantages, mainly related with high cost of acquisition and maintenance of sophisticated devices. On the other hand, cheaper systems are generally characterized by low precision or long
Jonathas Barbosa
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Neutrosophic Algebraic Mathematical Morphology [PDF]
Neutrosophic Sets and Systems, 2023 In this paper, we introduce and study the NeutroAlgebra structure and many of operations and properties of the mathematical morphology. This is a generalization of the operations of fuzzy and classical mathematical morphology.
A. A. Salama +4 more
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ROAD SEGMENTATION ON LOW RESOLUTION LIDAR POINT CLOUDS FOR AUTONOMOUS VEHICLES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Point cloud datasets for perception tasks in the context of autonomous driving often rely on high resolution 64-layer Light Detection and Ranging (LIDAR) scanners.
L. Gigli +6 more
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Image Analysis and Stereology, 2022 Cell counting is an important step in many biological experiments. It can be challenging, due to the large variability in contrast and shape of the cells, especially when their density is so high that the cells are closely packed together.
Tristan Lazard +6 more
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A Bayesian Approach to Morphological Models Characterization
Image Analysis and Stereology, 2021 Morphological models are commonly used to describe microstructures observed in heterogeneous materials. Usually, these models depend upon a set of parameters that must be chosen carefully to match experimental observations conducted on the microstructure.
Bruno Figliuzzi +6 more
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Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping
Remote Sensing, 2021 Paris-CARLA-3D is a dataset of several dense colored point clouds of outdoor environments built by a mobile LiDAR and camera system. The data are composed of two sets with synthetic data from the open source CARLA simulator (700 million points) and real ...
Jean-Emmanuel Deschaud +5 more
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Neutrosophic Crisp Mathematical Morphology [PDF]
Neutrosophic Sets and Systems, 2017 In this paper, we aim to apply the concepts of the neutrosophic crisp sets and its operations to the classical mathematical morphological operations, introducing what we call "Neutrosophic Crisp Mathematical Morphology".
Eman. M.El-Nakeeb +3 more
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