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On Machine-Learning Morphological Image Operators

https://doi.org/10.3390/math9161854
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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A Lattice-Theoretical Morphological View on Template Extraction in Images
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Discrete Geometry for Computer Imagery
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U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-540-34170-3openalex-snapshot
Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory
inferredcites →https://doi.org/10.1007/978-3-642-04512-7openalex-snapshot
Constructive Neural Networks
inferredcites →https://doi.org/10.1007/978-3-642-04512-7_7openalex-snapshot
Constructive Morphological Neural Networks: Some Theoretical Aspects and Experimental Results in Classification
inferredcites →https://doi.org/10.1007/978-3-642-38294-9_28openalex-snapshot
A Learning Framework for Morphological Operators Using Counter–Harmonic Mean
inferredcites →https://doi.org/10.1007/978-3-642-46466-9openalex-snapshot
Competition and Cooperation in Neural Nets
inferredcites →https://doi.org/10.1007/978-3-642-46466-9_18openalex-snapshot
Neocognitron: A Self-Organizing Neural Network Model for a Mechanism of Visual Pattern Recognition
inferredcites →https://doi.org/10.1007/978-3-662-05088-0openalex-snapshot
Morphological Image Analysis
inferredcites →https://doi.org/10.1007/bf01189873openalex-snapshot
Morphology neural networks: An introduction with applications
inferredcites →https://doi.org/10.1007/s10710-006-7012-3openalex-snapshot
Morphological algorithm design for binary images using genetic programming
inferredcites →https://doi.org/10.1007/s11042-016-4020-zopenalex-snapshot
Sketch-based manga retrieval using manga109 dataset
inferredcites →https://doi.org/10.1016/0146-664x(82)90078-8openalex-snapshot
Image analysis and mathematical morphology
inferredcites →https://doi.org/10.1016/0923-5965(95)00033-xopenalex-snapshot
The use of genetic algorithms in morphological filter design
inferredcites →https://doi.org/10.1016/1049-9660(92)90005-nopenalex-snapshot
Optimal mean-square N-observation digital morphological filters
inferredcites →https://doi.org/10.1016/1049-9660(92)90006-oopenalex-snapshot
Optimal mean-square N-observation digital morphological filters
inferredcites →https://doi.org/10.1016/b978-0-12-407702-7.00002-4openalex-snapshot
Representations for Morphological Image Operators and Analogies with Linear Operators
inferredcites →https://doi.org/10.1016/j.neucom.2017.04.044openalex-snapshot
Dendrite morphological neurons trained by stochastic gradient descent
inferredcites →https://doi.org/10.1016/j.patcog.2006.06.004openalex-snapshot
Grey-level hit-or-miss transforms—Part I: Unified theory
inferredcites →https://doi.org/10.1016/j.patcog.2012.12.015openalex-snapshot
Historical document image restoration using multispectral imaging system
inferredcites →https://doi.org/10.1016/j.patcog.2016.10.002openalex-snapshot
Staff removal using image operator learning
inferredcites →https://doi.org/10.1016/j.patcog.2020.107246openalex-snapshot
Deep morphological networks
inferredcites →https://doi.org/10.1016/s0165-1684(99)00162-0openalex-snapshot
Aperture filters
inferredcites →https://doi.org/10.1016/s0262-8856(98)00151-6openalex-snapshot
Automatic acquisition of hierarchical mathematical morphology procedures by genetic algorithms
inferredcites →https://doi.org/10.1016/s0893-6080(05)80023-1openalex-snapshot
Stacked generalization
inferredcites →https://doi.org/10.1016/s1076-5670(20)x0005-xopenalex-snapshot
Morphological Image Operators
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1071/9780643107342openalex-snapshot
Mathematical Morphology
inferredcites →https://doi.org/10.1109/29.1489openalex-snapshot
Rank order operators and the mean absolute error criterion
inferredcites →https://doi.org/10.1109/29.1653openalex-snapshot
Stack filters and the mean absolute error criterion
inferredcites →https://doi.org/10.1109/34.24793openalex-snapshot
A representation theory for morphological image and signal processing
inferredcites →https://doi.org/10.1109/5.192071openalex-snapshot
Order statistics in digital image processing
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/72.623220openalex-snapshot
Morphological shared-weight networks with applications to automatic target recognition
inferredcites →https://doi.org/10.1109/83.777083openalex-snapshot
A fast algorithm for designing stack filters
inferredcites →https://doi.org/10.1109/cvpr.2001.990517openalex-snapshot
Rapid object detection using a boosted cascade of simple features
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.632openalex-snapshot
Image-to-Image Translation with Conditional Adversarial Networks
inferredcites →https://doi.org/10.1109/iccv.2017.273openalex-snapshot
Fast Image Processing with Fully-Convolutional Networks
inferredcites →https://doi.org/10.1109/icdar.2013.45openalex-snapshot
Ground-Truth Estimation in Multispectral Representation Space: Application to Degraded Document Image Binarization
inferredcites →https://doi.org/10.1109/icdar.2017.18openalex-snapshot
Image Operator Learning Coupled with CNN Classification and Its Application to Staff Line Removal
inferredcites →https://doi.org/10.1109/icdar.2019.00020openalex-snapshot
Learning 2D Morphological Network for Old Document Image Binarization
inferredcites →https://doi.org/10.1109/icpr.1996.547657openalex-snapshot
An introduction to morphological neural networks
inferredcites →https://doi.org/10.1109/jproc.2017.2761740openalex-snapshot
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
inferredcites →https://doi.org/10.1109/mmul.2020.2987895openalex-snapshot
Building a Manga Dataset “Manga109” With Annotations for Multimedia Applications
inferredcites →https://doi.org/10.1109/tassp.1986.1164871openalex-snapshot
Stack filters
inferredcites →https://doi.org/10.1109/tassp.1987.1165254openalex-snapshot
Morphological filters--Part II: Their relations to median, order-statistic, and stack filters
inferredcites →https://doi.org/10.1109/tip.2006.888358openalex-snapshot
An Exact Algorithm for Optimal MAE Stack Filter Design
inferredcites →https://doi.org/10.1109/tip.2017.2691802openalex-snapshot
Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal
inferredcites →https://doi.org/10.1109/tip.2018.2836316openalex-snapshot
Perceptual Adversarial Networks for Image-to-Image Transformation
inferredcites →https://doi.org/10.1109/tnnls.2018.2890334openalex-snapshot
Morphological Convolutional Neural Network Architecture for Digit Recognition
inferredcites →https://doi.org/10.1109/tpami.2008.118openalex-snapshot
Multilevel Training of Binary Morphological Operators
inferredcites →https://doi.org/10.1109/tsmc.1973.4309314openalex-snapshot
Textural Features for Image Classification
inferredcites →https://doi.org/10.1117/1.1327178openalex-snapshot
Iterative design of morphological binary image operators
inferredcites →https://doi.org/10.1117/12.260010openalex-snapshot
Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory
inferredcites →https://doi.org/10.1117/3.501104openalex-snapshot
Hands-on Morphological Image Processing
inferredcites →https://doi.org/10.1137/0151091openalex-snapshot
Minimal Representations for Translation-Invariant Set Mappings by Mathematical Morphology
inferredcites →https://doi.org/10.1145/1837274.1837461openalex-snapshot
Cyber-physical systems
inferredcites →https://doi.org/10.1145/2627534.2627558openalex-snapshot
Modeling and analytics for cyber-physical systems in the age of big data
inferredcites →https://doi.org/10.1145/2831347.2831354openalex-snapshot
Edge-centric Computing
inferredcites →https://doi.org/10.1162/neco.1989.1.4.541openalex-snapshot
Backpropagation Applied to Handwritten Zip Code Recognition
inferredcites →https://doi.org/10.1201/9781420046052-c16openalex-snapshot
Morphological Signal and Image Processing
inferredcites →https://doi.org/10.2307/2345196openalex-snapshot
Random Sets and Integral Geometry.
inferredcites →https://doi.org/10.3390/s20092533openalex-snapshot
Edge Machine Learning for AI-Enabled IoT Devices: A Review
inferredcites →https://doi.org/10.48550/arxiv.1608.03665openalex-snapshot
Learning Structured Sparsity in Deep Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1803.03635openalex-snapshot
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1901.02411openalex-snapshot
Morphological Networks for Image De-raining
inferredcites →https://doi.org/10.5281/zenodo.6569357openalex-snapshot
The Lattice Computing (LC) Paradigm
inferredcites →https://doi.org/10.57702/e7wwo0zkopenalex-snapshot
Reading digits in natural images with unsupervised feature learning
inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-snapshot
Learning Multiple Layers of Features from Tiny Images

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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An Algorithm to Train Unrestricted Sequential Discrete Morphological Neural Networks
inferred← citeshttps://doi.org/10.1007/s10851-025-01255-9openalex-snapshot
Unrestricted Sequential Discrete Morphological Neural Networks
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Morphology-Aware Convolution for Structure-Sensitive Potato Leaf Disease Recognition
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Automatic design of W-operators using membership functions: a case study in brain MRI segmentation
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From Mathematical Morphology to machine learning of image operators
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inferred← citeshttps://doi.org/10.1016/j.neunet.2023.09.033openalex-snapshot
Learning smooth dendrite morphological neurons by stochastic gradient descent for pattern classification
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A novel hybrid fruit fly and simulated annealing optimized faster R-CNN for detection and classification of tomato plant leaf diseases
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The Freshness Assessment of Eggs Based on Thermographic Image Processing Using Blob Detection Method
inferred← citeshttps://doi.org/10.1109/rusautocon65989.2025.11177347openalex-snapshot
Topologically Correct Construction of a Road Graph Based on Skeletonization Using Neural Network Methods
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3116519openalex-snapshot
Improving the Classification Performance of Dendrite Morphological Neurons
inferred← citeshttps://doi.org/10.1117/12.3049191openalex-snapshot
A novel vision transformer-based approach to detect generative model fingerprint
inferred← citeshttps://doi.org/10.1137/23m1598477openalex-snapshot
Discrete Morphological Neural Networks
inferred← citeshttps://doi.org/10.18280/ts.390304openalex-snapshot
Creating Color Image Features Based on Morphology Image Processing
inferred← citeshttps://doi.org/10.3390/a17050184openalex-snapshot
Algorithm Based on Morphological Operators for Shortness Path Planning
inferred← citeshttps://doi.org/10.3390/drones8110680openalex-snapshot
Edge Computing-Driven Real-Time Drone Detection Using YOLOv9 and NVIDIA Jetson Nano
inferred← citeshttps://doi.org/10.3390/eng5040172openalex-snapshot
A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning
inferred← citeshttps://doi.org/10.3390/math10020271openalex-snapshot
Lattice Computing: A Mathematical Modelling Paradigm for Cyber-Physical System Applications
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A Low-Cost Framework for Textile Yarn Characterization Using Image Processing
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