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» Efficient Image Processing with the Apply Language
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170
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CGF
2010
171views more  CGF 2010»
15 years 10 days ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu
99
Voted
ICPR
2008
IEEE
16 years 4 months ago
HOPS: Efficient region labeling using Higher Order Proxy Neighborhoods
We present the Higher Order Proxy Neighborhoods (HOPS) approach to modeling higher order neighborhoods in Markov Random Fields (MRFs). HOPS incorporates more context information i...
Albert Y. C. Chen, Jason J. Corso, Le Wang
155
Voted
GECCO
2000
Springer
250views Optimization» more  GECCO 2000»
15 years 7 months ago
A Simple and Fast GA-SA hybrid Image Segmentation Algorithm
Image segmentation is an important process of image analysis. Most of the published approaches for image segmentation need to set appropriate parameter values to cope with the unc...
Shinn-Ying Ho, Kual-Zheng Lee
126
Voted
JRTIP
2008
249views more  JRTIP 2008»
15 years 3 months ago
Model-based mapping of reconfigurable image registration on FPGA platforms
Abstract Image registration is a computationally intensive application in the medical imaging domain that places stringent requirements on performance and memory management efficie...
Mainak Sen, Yashwanth Hemaraj, William Plishker, R...
128
Voted
ICIP
2010
IEEE
15 years 1 months ago
Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
Siming Wei, Jing Hua, Jiajun Bu, Chun Chen, Yizhou...