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» Adaptive image restoration using a local neural approach
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ICPR
2002
IEEE
15 years 11 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
IPMI
2003
Springer
15 years 10 months ago
Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images
Active Shape Models (ASM) have proven to be an effective approach for image segmentation. In some applications, however, the linear model of gray level appearance around a contour ...
Marleen de Bruijne, Bram van Ginneken, Max A. Vier...
ISVC
2009
Springer
15 years 4 months ago
Adaptive Contextual Energy Parameterization for Automated Image Segmentation
Image segmentation techniques are predominately based on parameter-laden optimization processes. The segmentation objective function traditionally involves parameters (i.e. weights...
Josna Rao, Ghassan Hamarneh, Rafeef Abugharbieh
SPIESR
2000
104views Database» more  SPIESR 2000»
14 years 11 months ago
Feature localization and search by object model under illumination change
Color object recognition methods that are based on image retrieval algorithms can handle changes of illumination via image normalization, e.g. simple color-channel-normalization1 ...
Mark S. Drew, Zinovi Tauber, Ze-Nian Li
JMM2
2006
133views more  JMM2 2006»
14 years 9 months ago
An Adaptive Method for Image Recovery in the DFT Domain
In image authentication research, a common approach is to divide a given image into a number of smaller blocks, and embed a fragile watermark into each block. The modifications can...
Peining Tao, Ahmet M. Eskicioglu