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» Level set image segmentation with Bayesian analysis
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131
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ICPR
2010
IEEE
15 years 2 months ago
3D Vertebrae Segmentation in CT Images with Random Noises
Exposure levels (X-ray tube amperage and peak kilovoltage) are associated with various noise levels and radiation dose. When higher exposure levels are applied, the images have hi...
Melih Seref Aslan
EUSFLAT
2001
183views Fuzzy Logic» more  EUSFLAT 2001»
15 years 4 months ago
On fuzzy rule-based algorithms for image segmentation using gray-level histogram analysis
One of the biggest problems in computer vision systems, analyzing images having high uncertainty/vagueness degree, is the treatment of such uncertainty. This problem is even clear...
Eduard Montseny, Pilar Sobrevilla
ICRA
2005
IEEE
178views Robotics» more  ICRA 2005»
15 years 9 months ago
Supervised Multispectral Image Segmentation using Active Contours
— Active contours have been widely used as image segmentation methods. The use of level set theory has provided more flexibility and convenience for the implementation of active...
Cheolha Pedro Lee, Wesley E. Snyder, Cliff Wang
127
Voted
PAMI
2010
174views more  PAMI 2010»
15 years 1 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
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