Results 41 to 50 of about 4,289,464 (313)
Morphological classifiers [PDF]
, 2021 This work proposes a new type of classifier called Morphological Classifier (MC). MCs aggregate concepts from mathematical morphology and supervised learning. The outcomes of this aggregation are classifiers that may preserve shape characteristics of classes, subject to the choice of a stopping criterion and structuring element.
arxiv +1 more source
Binary Multi Channel Morphological Neural Network [PDF]
arXiv, 2022 Neural networks and particularly Deep learning have been comparatively little studied from the theoretical point of view. Conversely, Mathematical Morphology is a discipline with solid theoretical foundations. We combine these domains to propose a new type of neural architecture that is theoretically more explainable.
arxiv
An Introduction to Deep Morphological Networks
IEEE Access, 2021 Over the past decade, Convolutional Networks (ConvNets) have renewed the perspectives of the research and industrial communities. Although this deep learning technique may be composed of multiple layers, its core operation is the convolution, an ...
Keiller Nogueira +3 more
doaj +1 more source
An Approach to Colour Morphological Supremum Formation using the LogSumExp Approximation [PDF]
arXiv, 2023 Mathematical morphology is a part of image processing that has proven to be fruitful for numerous applications. Two main operations in mathematical morphology are dilation and erosion. These are based on the construction of a supremum or infimum with respect to an order over the tonal range in a certain section of the image.
arxiv
MorphoActivation: Generalizing ReLU activation function by mathematical morphology [PDF]
International Conference on Discrete Geometry and Mathematical
Morphology, Oct 2022, Strasbourg, France, 2022 This paper analyses both nonlinear activation functions and spatial max-pooling for Deep Convolutional Neural Networks (DCNNs) by means of the algebraic basis of mathematical morphology. Additionally, a general family of activation functions is proposed by considering both max-pooling and nonlinear operators in the context of morphological ...
arxiv
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
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
Morphological estimates of image complexity and information content [PDF]
Компьютерная оптика, 2018 We propose new morphological conditional estimates of image complexity and information content as well as morphological mutual information. These morphological estimates take into account both the number and the shape of image tessellation (mosaic ...
Stanislav Brianskiy, Yuri Vizilter
doaj +1 more source
IEEE Geoscience and Remote Sensing Magazine, 2018 In recent years, airborne and spaceborne hyperspectral imaging systems have advanced in terms of spectral and spatial resolution, which makes the data sets they produce a valuable source for land cover classification.
Pedram Ghamisi +11 more
semanticscholar +1 more source
Filament identification through mathematical morphology [PDF]
, 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