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» Modelling perception using image processing algorithms
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ICIP
2009
IEEE
16 years 4 months ago
Face Recognition Using Sift Features
Face recognition has many important practical applications, like surveillance and access control. It is concerned with the problem of correctly identifying face images and assigni...
ICIP
2007
IEEE
16 years 5 months ago
salienShrink: Saliency-Based Wavelet Shrinkage
This paper describes salienShrink, a method to denoise images based on computing a map of salient coefficients in the wavelet domain and use it to improve common denoising algorit...
Konstantinos Rapantzikos, Yannis S. Avrithis, Stef...
ICIP
2006
IEEE
16 years 5 months ago
A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
BMCBI
2007
127views more  BMCBI 2007»
15 years 3 months ago
Characterization and simulation of cDNA microarray spots using a novel mathematical model
Background: The quality of cDNA microarray data is crucial for expanding its application to other research areas, such as the study of gene regulatory networks. Despite the fact t...
Hye Young Kim, Seo Eun Lee, Min Jung Kim, Jin Il H...
TMI
1998
181views more  TMI 1998»
15 years 2 months ago
Image Contrast Enhancement Based on a Histogram Transformation of Local Standard Deviation
Abstract— The adaptive contrast enhancement (ACE) algorithm, which uses contrast gains (CG’s) to adjust the highfrequency components of images, is a well-known technique for me...
Dah-Chung Chang, Wen-Rong Wu