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MIA
2011
135views more  MIA 2011»
12 years 7 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...
ISBI
2011
IEEE
12 years 8 months ago
Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
Pancreas segmentation in 3-D computed tomography (CT) data is of high clinical relevance, but extremely difficult since the pancreas is often not visibly distinguishable from the...
Marius Erdt, Matthias Kirschner, Klaus Drechsler, ...
JEI
2010
141views more  JEI 2010»
12 years 11 months ago
Contrast image correction method
A method for contrast enhancement is proposed. The algorithm is based on a local and image-dependent exponential correction. The technique aims to correct images that simultaneousl...
Raimondo Schettini, Francesca Gasparini, Silvia Co...
ICASSP
2010
IEEE
13 years 4 months ago
Forensic estimation and reconstruction of a contrast enhancement mapping
Due to the ease with which convincing digital image forgeries can be created, a need has arisen for digital forensic techniques capable of detecting image manipulation. Once image...
Matthew C. Stamm, K. J. Ray Liu
ACIVS
2006
Springer
13 years 8 months ago
Constrained Region-Growing and Edge Enhancement Towards Automated Semantic Video Object Segmentation
Most existing object segmentation algorithms suffer from a so-called under-segmentation problem, where parts of the segmented object are missing and holes often occur inside the ob...
L. Gao, J. Jiang, S. Y. Yang
ICPR
2008
IEEE
13 years 11 months ago
Using collaborative learning for image contrast enhancement
In this paper we propose a novel image contrast enhancement method using collaborative learning. Block-based histogram equalization methods such as contrast limited adaptive histo...
Yuchou Chang, Dah-Jye Lee, James K. Archibald, Yi ...