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A Two-Stage Image Segmentation Method Using a Convex Variant of the Mumford-Shah Model and Thresholding
The Mumford--Shah model is one of the most important image segmentation models and has been studied extensively in the last twenty years. In this paper, we propose a two-stage segmentation methodExpand
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Framelet-Based Algorithm for Segmentation of Tubular Structures
Framelets have been used successfully in various problems in image processing, including inpainting, impulse noise removal, super-resolution image restoration, etc. Segmentation is the process ofExpand
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Applying physical science techniques and CERN technology to an unsolved problem in radiation treatment for cancer: the multidisciplinary 'VoxTox' research programme.
The VoxTox research programme has applied expertise from the physical sciences to the problem of radiotherapy toxicity, bringing together expertise from engineering, mathematics, high energy physicsExpand
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Variational image segmentation model coupled with image restoration achievements
  • Xiaohao Cai
  • Mathematics, Computer Science
  • Pattern Recognit.
  • 8 May 2014
Image segmentation and image restoration are two important topics in image processing with a number of important applications. In this paper, we propose a new multiphase segmentation model byExpand
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Vessel Segmentation in Medical Imaging Using a Tight-Frame-Based Algorithm
Tight-frame, a generalization of orthogonal wavelets, has been used successfully in various problems in image processing, including inpainting, impulse noise removal, and superresolution imageExpand
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Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA
Remote sensing of individual tree species has many applications in resource management, biodiversity assessment, and conservation. Airborne remote sensing using light detection and ranging (LiDAR)Expand
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Multiclass Segmentation by Iterated ROF Thresholding
Variational models as the Mumford-Shah model and the active contour model have many applications in image segmentation. In this paper, we propose a new multiclass segmentation model by combining theExpand
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Uncertainty quantification for radio interferometric imaging: II. MAP estimation
Uncertainty quantification is a critical missing component in radio interferometric imaging that will only become increasingly important as the big-data era of radio interferometry emerges.Expand
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Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation
The piecewise constant Mumford-Shah (PCMS) model and the Rudin-Osher-Fatemi (ROF) model are two of the most famous variational models in image segmentation and image restoration, respectively. TheyExpand
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A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery
Recognising individual trees within remotely sensed imagery has important applications in forest ecology and management. Several algorithms for tree delineation have been suggested, mostly based onExpand
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