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AINA
2006
IEEE
15 years 10 months ago
On Optimization and Parallelization of Fuzzy Connected Segmentation for Medical Imaging
Fuzzy Connectedness is an important image segmentation routine for image processing of medical images. It is often used in preparation for surgery and sometimes during surgery. It...
Christopher Gammage, Vipin Chaudhary
ARTMED
2004
145views more  ARTMED 2004»
15 years 4 months ago
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
: Image segmentation plays a crucial role in many medical imaging applications. In this paper, we present a novel algorithm for fuzzy segmentation of magnetic resonance imaging (MR...
Dao-Qiang Zhang, Song-Can Chen
PAMI
2002
108views more  PAMI 2002»
15 years 3 months ago
Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC)
We propose a method for choosing the number of colors or true gray levels in an image; this allows fully automatic segmentation of images. Our underlying probability model is a hid...
Derek C. Stanford, Adrian E. Raftery
PAMI
2010
174views more  PAMI 2010»
15 years 2 months ago
Image Segmentation with a Unified Graphical Model
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...
Lei Zhang 0011, Qiang Ji
ICPR
2004
IEEE
16 years 5 months ago
A Novel Energy Minimization Criterion for Color Image Segmentation
In this article, we present an unsupervised segmentation algorithm through a multiresolution approach which uses both color and edge information with a quadtree structure, through...
Adolfo Martínez Usó, Filiberto Pla, ...