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» Image segmentation using curve evolution and flow fields
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ICPR
2006
IEEE
14 years 8 months ago
Bottom-Up Hierarchical Image Segmentation Using Region Competition and the Mumford-Shah Functional
This paper generalizes the methods in a previous paper [10] in two ways. First, a more comprehensive analysis of the initialization problem of the Chan-Vese models is given. Secon...
J. Douglas Birdwell, Seddik M. Djouadi, Yongsheng ...
MVA
2007
175views Computer Vision» more  MVA 2007»
13 years 9 months ago
Noisy Image Segmentation Based on a Level Set Evolution
In this paper, we propose a new hybrid model for active contour image segmentation, which is able to segment non-uniform noisy images efficiently. The model is a combination betwe...
Khaled Issa, Hiroshi Nagahashi
JUCS
2008
180views more  JUCS 2008»
13 years 7 months ago
A Novel Multi-Layer Level Set Method for Image Segmentation
: In this paper, a new multi-layer level set method is proposed for multi-phase image segmentation. The proposed method is based on the conception of image layer and improved numer...
Xiaofeng Wang, De-Shuang Huang
ICIP
2001
IEEE
14 years 9 months ago
Tube-embodied gradient vector flow fields for unsupervised video object plane (VOP) segmentation
In this paper constrained Gradient Vector Flow (GVF) field generation is performed, for fast and accurate unsupervised stereoscopic semantic segmentation. The scheme utilizes the ...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...
GECCO
2006
Springer
226views Optimization» more  GECCO 2006»
13 years 11 months ago
Segmentation of medical images using a genetic algorithm
Segmentation of medical images is challenging due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. Consequently, this task involves ...
Payel Ghosh, Melanie Mitchell