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116
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ICIP
2005
IEEE
16 years 5 months ago
Segmenting non stationary images with triplet Markov fields
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
Dalila Benboudjema, Wojciech Pieczynski
154
Voted
CATA
2001
15 years 5 months ago
Object-oriented image database model
: In this paper we analyze some existing tools and approaches to image data modeling and we propose an Object-Oriented Image Data (OOID) model. It can be applied on a wide variety ...
William I. Grosky, Peter L. Stanchev
CVPR
2009
IEEE
15 years 10 months ago
Manifold Discriminant Analysis
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
Ruiping Wang, Xilin Chen
151
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MIA
2011
135views more  MIA 2011»
14 years 6 months ago
A comprehensive study of stent visualization enhancement in X-ray images by image processing means
In this work we propose a comprehensive study of Digital Stent Enhancement (DSE), from the analysis of requirements to the validation of the proposed solution. First, we derive th...
Vincent Bismuth, Régis Vaillant, Fran&ccedi...
IBPRIA
2007
Springer
15 years 9 months ago
Registration-Based Segmentation Using the Information Bottleneck Method
We present two new clustering algorithms for medical image segmentation based on the multimodal image registration and the information bottleneck method. In these algorithms, the h...
Anton Bardera, Miquel Feixas, Imma Boada, Jaume Ri...