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» Image Based Regression Using Boosting Method
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129
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ISBI
2007
IEEE
15 years 10 months ago
Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours
This paper focuses on the detection and segmentation of multiple sclerosis (MS) lesions in magnetic resonance images. The proposed method performs healthy tissue segmentation usin...
Oren Freifeld, Hayit Greenspan, Jacob Goldberger
109
Voted
CRV
2005
IEEE
112views Robotics» more  CRV 2005»
15 years 9 months ago
Resampling 4-D Images Using Adaptive Filtering
We present an adaptive filtering based methodology for resampling 3-D time series images using an extension of the method presented by Westin in [11]. We simultaneously reduce th...
Alexander Andreopoulos, John K. Tsotsos
MVA
2007
197views Computer Vision» more  MVA 2007»
15 years 5 months ago
A Simple Tone Mapping for High Dynamic Range Image Visualization Using a Pseudo-Hilbert Scan
The Hilbert curve is one of space-filling curves published by G. Peano. There are several applications using this curve, such as image processing, computer graphics, etc. In this ...
Jian Zhang, Sei-ichiro Kamata, Li Tian
164
Voted
TCSV
2002
292views more  TCSV 2002»
15 years 3 months ago
Document image segmentation using wavelet scale-space features
In this paper, an efficient and computationally fast method for segmenting text and graphics part of document images based on textural cues is presented. We assume that the graphic...
Mausumi Acharyya, Malay K. Kundu
130
Voted
ICIP
2010
IEEE
15 years 1 months ago
Hyper-DEMIX: Blind source separation of hyperspectral images using local ML estimates
We propose a new method to unmix hyperspectral images. Our method exploits the structure of the material abundance maps by assuming that in some regions of the spatial dimension, ...
Simon Arberet