Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
Spatial tessellations: concepts and applications of Voronoi diagrams
Spatial tessellations: concepts and applications of Voronoi diagrams
Generalized geodesy via geodesic time
Pattern Recognition Letters
Semi-metrics, closure spaces and digital topology
Selected papers of the workshop on Topology and completion in semantics
New geodesic distance transforms for gray-scale images
Pattern Recognition Letters
Journal of Mathematical Imaging and Vision
Sequential Operations in Digital Picture Processing
Journal of the ACM (JACM)
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
General Adaptive Neighborhood Image Processing
Journal of Mathematical Imaging and Vision
General Adaptive Neighborhood Image Processing
Journal of Mathematical Imaging and Vision
Distance and nearest neighbor transforms on gray-level surfaces
Pattern Recognition Letters
EURASIP Journal on Applied Signal Processing
An adaptive image Euclidean distance
Pattern Recognition
General Adaptive Neighborhood Choquet Image Filtering
Journal of Mathematical Imaging and Vision
Human Visual System-Based Image Enhancement and Logarithmic Contrast Measure
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive Shape Diagrams for Multiscale Morphometrical Image Analysis
Journal of Mathematical Imaging and Vision
Hi-index | 0.01 |
This paper aims to introduce and study two novel metrics on gray tone images. These metrics are based on the General Adaptive Neighborhood Image Processing (GANIP) framework that enables to represent an image by spatial neighborhoods, named General Adaptive Neighborhoods (GAN) that fit to their local context. These metrics are generalized in the sense that they do not satisfy all the axioms of a standard mathematical metric. This notion of adaptive generalized metrics leads to the definition of relevant GAN distance maps and GAN nearest neighbor transforms used for image segmentation.