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» A Diffusion Approach to Seeded Image Segmentation
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MICCAI
2004
Springer
14 years 5 months ago
An Analysis Tool for Quantification of Diffusion Tensor MRI Data
A software tool for analyzing Diffusion Tensor MRI (DT-MRI) data is presented. The tool includes methods for segmentation of white matter for automatic definition of seed points fo...
Hae-Jeong Park, Martha Elizabeth Shenton, Carl-Fre...
ICIAP
2001
Springer
14 years 5 months ago
Remote Sensed Images Segmentation through Shape Refinement
A novel approach to the automatic classiJcation of remote sensed images is proposed. This approach is based on a three-phase procedure: first pixels which belong to the areas of i...
Giovanni Gallo, Giorgio Grasso, Salvatore Nicotra,...
SIBGRAPI
2007
IEEE
13 years 11 months ago
Seed-Relative Segmentation Robustness of Watershed and Fuzzy Connectedness Approaches
This paper analyzes the robustness issue in three segmentation approaches: the iterative relative fuzzy object extraction, the watershed transforms (WT) by image foresting transfo...
Romaric Audigier, Roberto de Alencar Lotufo
ICIP
2009
IEEE
14 years 6 months ago
Seed Image Selection In Interactive Cosegmentation
Interactive image segmentation is a powerful paradigm that allows users to direct the segmentation algorithm towards a desired output. However, marking scribbles on multiple image...
ISM
2005
IEEE
149views Multimedia» more  ISM 2005»
13 years 10 months ago
Image Segmentation Using Curve Evolution and Anisotropic Diffusion: An Integrated Approach
In this paper, a new model is proposed for image segmentation that integrates the curve evolution and anisotropic diffusion methods. The curve evolution method, utilizing both grad...
Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djou...