Morphological probabilistic hierarchies for texture segmentation

DOI10.1515/mathm-2016-0012zbMath1470.68236OpenAlexW2564000397MaRDI QIDQ822522

Dominique Jeulin

Publication date: 22 September 2021

Published in: Mathematical Morphology. Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/mathm-2016-0012

zbMATH Keywords

Poisson processtexture segmentationprobabilistic segmentationhierarchical segmentationmorphological operationsprobabilistic distancerandom markers

Mathematics Subject Classification ID

Random fields (60G60) Geometric probability and stochastic geometry (60D05) Image analysis in multivariate analysis (62H35) Computing methodologies for image processing (68U10) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Uses Software

• ElemStatLearn

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• SEGMENTATION OF 2D AND 3D TEXTURES FROM ESTIMATES OF THE LOCAL ORIENTATION
• Probabilistic Hierarchical Morphological Segmentation of Textures
• Stochastic Multiscale Segmentation Constrained by Image Content
• On the Foundations of Relaxation Labeling Processes
• A Stochastic Evaluation of the Contour Strength
• MORPHOLOGICAL SEGMENTATION OF HYPERSPECTRAL IMAGES
• A New Probabilistic Relaxation Scheme
• Scene Labeling by Relaxation Operations
• Variational Region-Based Segmentation Using Multiple Texture Statistics
• The elements of statistical learning. Data mining, inference, and prediction

This page was built for publication: Morphological probabilistic hierarchies for texture segmentation