Color image segmentation for objects of interest with modified geodesic active contour method

DOI10.1007/s10851-006-9797-3zbMath1478.68407OpenAlexW2092827709MaRDI QIDQ2384102

Jinsong Fan, Chao-Min Shen, Ling Pi

Publication date: 20 September 2007

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

Full work available at URL: https://doi.org/10.1007/s10851-006-9797-3

zbMATH Keywords

principal component analysisinterval estimationcolor image segmentationgeodesic active contourdiscrimination functionobject(s) of interest

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Image analysis in multivariate analysis (62H35) Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)

Related Items (4)

A new variational model for segmenting objects of interest from color images ⋮ Geometric active contours without re-initialization for image segmentation ⋮ Spatially constrained Student's \(t\)-distribution based mixture model for robust image segmentation ⋮ A modified Chan-Vese model and its theoretical proof

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Constraints on deformable models: Recovering 3D shape and nonrigid motion
• Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
• A geometric model for active contours in image processing
• Geodesic active contours
• Geodesic active regions and level set methods for supervised texture segmentation
• Image Selective Smoothing and Edge Detection by Nonlinear Diffusion. II
• Active contours without edges
• A general framework for low level vision

This page was built for publication: Color image segmentation for objects of interest with modified geodesic active contour method