Interactive image segmentation by maximal similarity based region merging

DOI10.1016/J.PATCOG.2009.03.004zbMath1187.68485OpenAlexW2034110104WikidataQ57810230 ScholiaQ57810230MaRDI QIDQ1037817

David Zhang, Lei Zhang, Jifeng Ning, ChengKe Wu

Publication date: 16 November 2009

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2009.03.004

zbMATH Keywords

image segmentationmean shiftregion mergingmaximal similarity

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)

Related Items (10)

The Application of Cellular Automaton in Medical Semiautomatic Segmentation ⋮ Segmentation of left and right ventricles in cardiac MRI using active contours ⋮ A local region-based Chan-Vese model for image segmentation ⋮ Change detection in synthetic aperture radar images based on fuzzy active contour models and genetic algorithms ⋮ A variational model and its numerical solution for local, selective and automatic segmentation ⋮ A tree-structured framework for purifying ``complex clusters with structural roles of individual data ⋮ Robust interactive image segmentation via graph-based manifold ranking ⋮ Level set evolution model for image segmentation based on variable exponent p-Laplace equation ⋮ Nonparametric clustering for image segmentation ⋮ Highly-efficient technique for automatic segmentation of X-ray bone images based on fuzzy logic and an edge detection technique

Uses Software

• MAXFLOW
• GrabCut

Cites Work

• Unnamed Item
• Efficient graph-based image segmentation
• The adaptive pyramid: A framework for 2D image analysis
• Computer Vision - ECCV 2004
• Computer Vision - ECCV 2004

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