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» A Diffusion Approach to Seeded Image Segmentation
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GECCO
2006
Springer
226views Optimization» more  GECCO 2006»
15 years 1 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
ICIP
2009
IEEE
15 years 10 months ago
Shape Prior Criterion Based On Tchebichef Moments In Variational Region Growing
Region growing has become a popular method for 3D segmentation. Starting from a seed, this approach allows one to extract a region by merging all its neighbors and comparing the e...
3DPVT
2004
IEEE
148views Visualization» more  3DPVT 2004»
15 years 1 months ago
Surface Model Generation from Range Images of Industrial Environments
This paper presents an hybrid segmentation technique that combines both the speed of an edge based approach with the robustness of a surface based approach. It consists of three s...
Angel Domingo Sappa
ICDAR
2007
IEEE
15 years 3 months ago
Skeletonization by Gradient Regularization and Diffusion
This paper describes a skeletonization process for grayscale or color images based on the diffusion of the color gradient vectors by using a simple iterative regularization scheme...
Frank Lebourgeois, Hubert Emptoz
67
Voted
ICIP
2005
IEEE
15 years 11 months ago
A classification approach for anatomical regions segmentation
In this paper, a supervised pixel-based classifier approach for segmenting different anatomical regions in abdominal Computed Tomography (CT) studies is presented. The approach co...
Mikhail Kalinin, Daniela Stan Raicu, Jacob D. Furs...