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» Greedy Algorithm for Local Contrast Enhancement of Images
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ICASSP
2011
IEEE
12 years 11 months ago
Dual domain method for single image dehazing and enhancing
In this paper, we propose a novel method for improving the visibility of an image (with fog or haze), as well as the image’s details. The proposed method adjusts the global cont...
Dongin Shin, Kristofor B. Gibson, Wonha Kim, Truon...
MICCAI
1998
Springer
13 years 11 months ago
Motion Measurements in Low-Contrast X-ray Imagery
Measuring motion in medical imagery becomes more and more important, in particular for object tracking, image registration, and local displacement measurements. Often, the require...
Martin Berger, Guido Gerig
BMVC
2010
13 years 5 months ago
A Novel Framework for Tracking In-vitro Cells in Time-lapse Phase Contrast Data
With the proliferation of modern microscopy imaging technologies the amount of data that has to be analysed by biologists is constantly increasing and as a result the development ...
Ketheesan Thirusittampalam, M. Julius Hossain, Ovi...
TELSYS
2011
207views Education» more  TELSYS 2011»
13 years 2 months ago
GRASP: basic components and enhancements
GRASP (Greedy Randomized Adaptive Search Procedures) is a multistart metaheuristic for producing good-quality solutions of combinatorial optimization problems. Each GRASP iteration...
Paola Festa, Mauricio G. C. Resende
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
11 years 10 months ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...