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» Graph-Theoretical Methods in Computer Vision
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123
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ICPR
2008
IEEE
16 years 3 months ago
Efficient video text detection using edge features
In this paper, we explore new edge features such as straightness for the elimination of non significant edges from the segmented text portion of a video frame to detect accurate b...
Palaiahnakote Shivakumara, Weihua Huang, Chew Lim ...
ICPR
2008
IEEE
16 years 3 months ago
An adaptive Monte Carlo approach to nonlinear image denoising
This paper introduces a novel stochastic approach to image denoising using an adaptive Monte Carlo scheme. Random samples are generated from the image field using a spatially-adap...
Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieg...
95
Voted
ICPR
2008
IEEE
16 years 3 months ago
Superresolution and blind deconvolution of video
In many real applications traditional superresolution methods fail to provide high-resolution images due to objectionable blur and inaccurate registration of input low-resolution ...
Filip Sroubek, Jan Flusser, Michal Sorel
126
Voted
ICPR
2006
IEEE
16 years 3 months ago
Vessel Segmentation in 2D-Projection Images Using a Supervised Linear Hysteresis Classifier
2D projection imaging is a widely used procedure for vessel visualization. For the subsequent analysis of the vasculature, precise measurements of e.g. vessel area, vessel length ...
Alexandru Condurache, Til Aach
113
Voted
ICPR
2006
IEEE
16 years 3 months ago
Background Robust Object Labeling by Voting of Weight-Aggregated Local Features
In this paper, we present a new voting-based object labeling method that is robust to background clutter. The conventional simple voting method shows very poor performance under c...
In-So Kweon, Kuk-Jin Yoon, Sungho Kim