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IPMI
1999
Springer
16 years 1 months ago
New Variants of a Method of MRI Scale Normalization
One of the major drawbacks of Magnetic Resonance Imaging (MRI) has been the lack of a standard and quantifiable interpretation of image intensities. This causes many difficulties i...
Jayaram K. Udupa, László G. Ny&uacut...
99
Voted
TSMC
2010
14 years 7 months ago
A Unified Tensor Level Set for Image Segmentation
Abstract--This paper presents a new region-based unified tensor level set model for image segmentation. This model introduces a three-order tensor to comprehensively depict feature...
Bin Wang, Xinbo Gao, Dacheng Tao, Xuelong Li
116
Voted
ICIP
2008
IEEE
16 years 2 months ago
The path assigned mean shift algorithm: A new fast mean shift implementation for colour image segmentation
This paper presents a novel method for colour image segmentation derived from the mean shift theorem. When applied to colour image segmentation tasks, the path assigned mean
Akash Pooransingh, Cathy-Ann Radix, Anil C. Kokara...
PAMI
2012
13 years 3 months ago
Unsupervised Learning of Categorical Segments in Image Collections
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
BMEI
2009
IEEE
15 years 1 months ago
A Kurtosis and Skewness Based Criterion for Model Selection on Gaussian Mixture
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
Lin Wang, Jinwen Ma