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» A Segmentation Algorithm for Contrast-Enhanced Images
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SEDE
2008
13 years 11 months ago
Improving Fuzzy Algorithms for Automatic Magnetic Resonance Image Segmentation
: In this paper, we present reliable algorithms for fuzzy k-means and C-means that could improve MRI segmentation. Since the k-means or FCM method aims to minimize the sum of squar...
Ennumeri A. Zanaty, Sultan Aljahdali, Narayan C. D...
MICCAI
2007
Springer
14 years 11 months ago
Simultaneous Segmentation, Kinetic Parameter Estimation, and Uncertainty Visualization of Dynamic PET Images
Abstract. We develop a segmentation technique for dynamic PET incorporating the physiological parameters for different regions via kinetic modeling. We demonstrate the usefulness o...
Ahmed Saad, Benjamin Smith 0002, Ghassan Hamarneh,...
BILDMED
2007
128views Algorithms» more  BILDMED 2007»
13 years 11 months ago
Network Snakes for the Segmentation of Adjacent Cells in Confocal Images
Network snakes constitute one of the latest advances in the research of image segmentation techniques: they integrate topology into active contour models. This concept is applied t...
Matthias Butenuth, Fritz Jetzek
ICIP
2001
IEEE
14 years 11 months ago
Improving a genetic algorithm segmentation by means of a fast edge detection technique
Thispaper presents a new hybrid range image segmentation approach. Two separate techniques are applied consecutively. First, iin edge based segmentation technique extracts the edg...
Angel Domingo Sappa, Vitoantonio Bevilacqua, Miche...
FSKD
2005
Springer
141views Fuzzy Logic» more  FSKD 2005»
14 years 3 months ago
Spatial Homogeneity-Based Fuzzy c-Means Algorithm for Image Segmentation
Abstract. A fuzzy c-means algorithm incorporating the notion of dominant colors and spatial homogeneity is proposed for the color clustering problem. The proposed algorithm extract...
Bo-Yeong Kang, Dae-Won Kim, Qing Li