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Mathematical Morphology

Encyclopedia of Mathematical Geosciences, 2021
Jean Serra
semanticscholar   +3 more sources

Performance Prediction Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy and Extreme Learning Machine

IEEE Transactions on Instrumentation and Measurement, 2020
Performance prediction is significant to monitor the health status of rolling bearings, which can greatly reduce the loss caused by potential faults in the whole life cycle of rolling bearings.
Huimin Zhao   +3 more
semanticscholar   +1 more source

Mathematical morphology for microaneurysm detection in fundus images

European Journal of Ophthalmology, 2020
Aim: Fundus image analysis is the basis for the better understanding of retinal diseases which are found due to diabetes. Detection of earlier markers such as microaneurysms that appear in fundus images combined with treatment proves beneficial to ...
Shilpa Joshi, PT Karule
semanticscholar   +1 more source

Computational mathematical morphology

Signal Processing, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Divyendu Sinha, Edward R. Dougherty
openaire   +2 more sources

Fuzzy mathematical morphology

Annals of Mathematics and Artificial Intelligence, 1994
A new morphology is proposed which uses fuzzy structuring elements and is internal on fuzzy sets. It is fully compatible with conventional morphology which uses binary structuring elements, either on binary or on grey-tone sets. The properties of the two basic operations, fuzzy dilation and fuzzy erosion, are presented.
Isabelle Bloch, Henri Maitre
openaire   +2 more sources

Lunar Crater Detection Based on Terrain Analysis and Mathematical Morphology Methods Using Digital Elevation Models

IEEE Transactions on Geoscience and Remote Sensing, 2018
Lunar impact craters are the most typical geomorphic feature on the moon and are of great importance in studies of lunar terrain features. This paper presents a crater detection algorithm (CDA) that is based on terrain analysis and mathematical ...
Min Chen   +5 more
semanticscholar   +1 more source

Classification by mathematical morphology

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
A general methodology that explores the geometric characteristics presented by the training sets of each class (size, shape and orientation) in feature space, without making explicitly any statistical hypothesis, is presented in this paper. The respective decision region borders are constructed automatically and provide higher classification rates.
Pedro Pina, Teresa Barata
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Beyond Mathematical Morphology

SPIE Proceedings, 1987
We present an algebraic structure, known as the AFATL (Air Force Armament Technical Laboratory) Image Algebra, that is capable of expressing all image-to-image transformations. After presenting a brief overview of the operands and operations of the algebra, we show how a subalgebra of the full Image Algebra generalizes the theory of mathematical ...
Gerhard X. Ritter   +2 more
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Hypercomplex Mathematical Morphology

Journal of Mathematical Imaging and Vision, 2011
The natural ordering of grey levels is used in classical mathematical morphology for scalar images to define the erosion/dilation and the evolved operators. Various operators can be sequentially applied to the resulting images always using the same ordering.
openaire   +3 more sources

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