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» Image Processing: Principles and Applications
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CIVR
2007
Springer
164views Image Analysis» more  CIVR 2007»
15 years 10 months ago
Inducing a perceptual relevance shape classifier
In this paper, we develop a system to classify the outputs of image segmentation algorithms as perceptually relevant or perceptually irrelevant with respect to human perception. T...
Victoria J. Hodge, John P. Eakins, James Austin
MLDM
2007
Springer
15 years 10 months ago
Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm
The color reduction in digital images is an active research area in digital image processing. In many applications such as image segmentation, analysis, compression and transmissio...
Konstantinos Zagoris, Nikos Papamarkos, Ioannis Ko...
TCSV
2008
84views more  TCSV 2008»
15 years 4 months ago
A Technique for Evaluation of CCD Video-Camera Noise
This paper presents a technique to identify and measure the prominent sources of sensor noise in commercially available CCD video cameras by analysis of the output images. Noise fu...
Kenji Irie, Alan E. McKinnon, Keith Unsworth, Ian ...
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CVPR
1997
IEEE
14 years 22 days ago
Gradient Vector Flow: A New External Force for Snakes
Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initial...
Chenyang Xu, Jerry L. Prince
ICIP
2009
IEEE
15 years 2 months ago
Fast subspace-based tensor data filtering
Subspace-based methods rely on dominant element selection from second order statistics. They have been extended to tensor processing, in particular to tensor data filtering. For t...
Julien Marot, Caroline Fossati, Salah Bourennane