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MATHEMATICAL MORPHOLOGY IN THE CIELAB SPACE

open access: yesImage 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   +4 more sources

Filament identification through mathematical morphology [PDF]

open access: hybrid, 2015
We present a new algorithm for detecting filamentary structure FilFinder. The algorithm uses the techniques of mathematical morphology for filament identification, presenting a complementary approach to current algorithms which use matched filtering or ...
Eric W. Koch, Erik Rosolowsky
openalex   +3 more sources

Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation [PDF]

open access: yesInternational Joint Conference on Discrete Geometry and Mathematical Morphology, 2021
The digitization of historical maps enables the study of ancient, fragile, unique, and hardly accessible information sources. Main map features can be retrieved and tracked through the time for subsequent thematic analysis.
Yizi Chen   +5 more
semanticscholar   +1 more source

ROAD SEGMENTATION ON LOW RESOLUTION LIDAR POINT CLOUDS FOR AUTONOMOUS VEHICLES [PDF]

open access: yesISPRS 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
doaj   +1 more source

Analysis-preserving video microscopy compression via correlation and mathematical morphology. [PDF]

open access: greenMicrosc Res Tech, 2015
Shao C   +7 more
europepmc   +3 more sources

Applying Deep Learning to Melanocyte Counting on Fluorescent TRP1 Labelled Images of In Vitro Skin Model

open access: yesImage 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
doaj   +1 more source

A Bayesian Approach to Morphological Models Characterization

open access: yesImage 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
doaj   +1 more source

Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping

open access: yesRemote 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
doaj   +1 more source

Neutrosophic Crisp Mathematical Morphology [PDF]

open access: yesNeutrosophic 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
doaj   +1 more source

Mathematical morphology on directional data

open access: yesJournal of Mathematical Imaging and Vision, 2022
Abstract We define morphological operators and filters for directional images whose pixel values are unit vectors. This requires an ordering relation for unit vectors which is obtained by using depth functions. They provide a centre-outward ordering with respect to a specified centre vector.
Hauch, Konstantin, Redenbach, Claudia
openaire   +2 more sources

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