A new region-based active contour model for object segmentation

DOI10.1007/s10851-015-0574-zzbMath1343.68272OpenAlexW2166623440MaRDI QIDQ890123

Michela Lecca, Stefano Messelodi, Raul Paolo Serapioni

Publication date: 9 November 2015

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11572/122269

zbMATH Keywords

heuristic model based on probability density functionsobject segmentationregion-based active contour models

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Uses Software

• COIL-100

Cites Work

• Geodesic active contours
• Practical mathematical optimization. An introduction to basic optimization theory and classical and new gradient-based algorithms.
• Geodesic active regions and level set methods for supervised texture segmentation
• Using prior shapes in geometric active contours in a variational framework
• Level set methods and dynamic implicit surfaces
• Shapes and Geometries
• On active contour models and balloons
• Theoretical Numerical Analysis
• Active contours without edges
• Image Segmentation Using Active Contours: Calculus of Variations or Shape Gradients?
• Localizing Region-Based Active Contours
• Local Region Descriptors for Active Contours Evolution
• Unnamed Item

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