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128
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TMI
2010
148views more  TMI 2010»
15 years 2 months ago
General Retinal Vessel Segmentation Using Regularization-Based Multiconcavity Modeling
—Detecting blood vessels in retinal images with the presence of bright and dark lesions is a challenging unsolved problem. In this paper, a novel multiconcavity modeling approach...
Benson S. Y. Lam, Yongsheng Gao, Alan Wee-Chung Li...
133
Voted
ICIP
2001
IEEE
16 years 5 months ago
Coding theoretic approach to image segmentation
This paper introduces multi-scale tree-based approaches to image segmentation, using Rissanen's coding theoretic minimum description length (MDL) principle to penalize overly...
Mário A. T. Figueiredo, Robert D. Nowak, Un...
137
Voted
PAMI
2007
123views more  PAMI 2007»
15 years 3 months ago
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
Dalila Benboudjema, Wojciech Pieczynski
116
Voted
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
108
Voted
ICIP
2005
IEEE
16 years 5 months ago
Statistical categorization of human histological images
Histology is the science of understanding the structure of animals and plants, and studying the functional implications of biological structures. In this paper, we propose a stati...
Dehua Zhao, Yixin Chen, Nelson Correa