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» A Segmentation Algorithm for Noisy Images
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ICIP
2009
IEEE
14 years 9 months ago
Random swap EM algorithm for finite mixture models in image segmentation
The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
Qinpei Zhao, Ville Hautamäki, Ismo Kärkk...
TMI
2002
107views more  TMI 2002»
14 years 11 months ago
Volumetric Segmentation of Brain Images Using Parallel Genetic Algorithms
Active model-based segmentation has frequently been used in medical image processing with considerable success. Although the active model-based method was initially viewed as an op...
Yong Fan, Tianzi Jiang, David J. Evans
ICIP
1999
IEEE
16 years 1 months ago
A Fast Segmentation Algorithm for Bi-Level Image Compression Using JBIG2
The emerging JBIG2 standard allows compliant encoders to achieve very high compression rates on bi-level images, especially when images are properly segmented into regions of line...
Dave A. D. Tompkins, Faouzi Kossentini
ICPR
2002
IEEE
16 years 28 days ago
A Note on Principal Point Estimability
We provide elementary geometric arguments to show that the principal point of cameras with small to moderate field of view cannot be reliably estimated from natural, noisy images ...
Alberto Ruiz, Ginés García-Mateos, P...
ACCV
2009
Springer
15 years 6 months ago
Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...
Qi Zhao, Zhi Yang, Hai Tao, Wentai Liu