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» Image sampling for localization using entropy
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ICPR
2008
IEEE
13 years 11 months ago
Image sampling for localization using entropy
This paper introduces a robust adaptive patches sampling technique. The method does not rely on the use of keypoints to extract local information but all information contained in ...
Loic Lacheze, Ryad Benosman
MICCAI
2007
Springer
14 years 5 months ago
Robust Computation of Mutual Information Using Spatially Adaptive Meshes
Abstract. We present a new method for the fast and robust computation of information theoretic similarity measures for alignment of multi-modality medical images. The proposed meth...
Hari Sundar, Dinggang Shen, George Biros, Chenyang...
ICIP
1997
IEEE
14 years 6 months ago
Minimum-Entropy Clustering and its Application to Lossless Image Coding
The Minimum-Entropy Clustering (MEC) algorithm proposed in this paper provides an optimal method for addressing the non-stationarity of a source with respect to entropy coding. Th...
Farshid Golchin, Kuldip K. Paliwal
ICASSP
2011
IEEE
12 years 8 months ago
Entropy estimation using the principle of maximum entropy
In this paper, we present a novel entropy estimator for a given set of samples drawn from an unknown probability density function (PDF). Counter to other entropy estimators, the e...
Behrouz Behmardi, Raviv Raich, Alfred O. Hero
ISCAS
2003
IEEE
345views Hardware» more  ISCAS 2003»
13 years 10 months ago
An efficient blood vessel detection algorithm for retinal images using local entropy thresholding
This paper presents an efficient method for automatic detection and extraction of blood vessels in retinal images. Specifically, we also delineate vascular intersections/crossov...
Thitiporn Chanwimaluang, Guoliang Fan