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» Learning the Relative Importance of Features in Image Data
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DICTA
2003
15 years 5 months ago
False-Peaks-Avoiding Mean Shift Method for Unsupervised Peak-Valley Sliding Image Segmentation
The mean shift (MS) algorithm is sensitive to local peaks. In this paper, we show both empirically and analytically that when using sample data, the reconstructed PDF may have fals...
Hanzi Wang, David Suter
DICTA
2009
15 years 5 months ago
Modeling Image Context Using Object Centered Grid
Abstract--Context plays a valuable role in any image understanding task confirmed by numerous studies which have shown the importance of contextual information in computer vision t...
Sobhan Naderi Parizi, Ivan Laptev, Alireza Tavakol...
ICPR
2002
IEEE
16 years 5 months ago
Entropy Estimation and Multiscale Processing in Meteorological Satellite Images
A new model for the multiscale characterization of turbulence and chaotic information in digital images is presented. The model is applied to infrared satellite images for the det...
Antonio Turiel, Hussein M. Yahia, Jacopo Grazzini
ICDM
2006
IEEE
155views Data Mining» more  ICDM 2006»
15 years 10 months ago
Automatic Single-Organ Segmentation in Computed Tomography Images
In this paper, we propose a hybrid approach for automatic single-organ segmentation in Computed Tomography (CT) data. The approach consists of three stages: first, a probability i...
Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob D...
151
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JEI
2007
91views more  JEI 2007»
15 years 4 months ago
Gradient-based value mapping for pseudocolor images
Abstract. We develop a method for automatic colorization of images (or two-dimensional fields) in order to visualize pixel values and their local differences. In many applications...
Arvind Visvanathan, Stephen E. Reichenbach, Qingpi...