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» Image Compression using Object-Based Regions of Interest
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EMMCVPR
2005
Springer
14 years 1 months ago
A New Implicit Method for Surface Segmentation by Minimal Paths: Applications in 3D Medical Images
Abstract. We introduce a novel implicit approach for single object segmentation in 3D images. The boundary surface of this object is assumed to contain two known curves (the constr...
Roberto Ardon, Laurent D. Cohen, Anthony J. Yezzi
ICIP
2010
IEEE
13 years 5 months ago
Geometric averaging of X-ray signals in automatic exposure control
Improper dose control in X-ray cardio-vascular systems leads to a reduced Signal-to-Noise Ratio (SNR) in regions of interest of the X-ray image. We aim at reducing the influence o...
Rudolph M. Snoeren, Peter H. N. de With
ICPR
2008
IEEE
14 years 2 months ago
A corner strength based Fingerprint segmentation algorithm with dynamic thresholding
Segmentation is one of the first and most integral pre-processing steps for any Fingerprint Recognition System. It is used to identify the region of interest within an image. Perf...
Asim Baig, Ahmed Bouridane, Fatih Kurugollu
TMI
2010
151views more  TMI 2010»
13 years 2 months ago
Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns
Abstract--We aim at improving quantitative measures of emphysema in computed tomography (CT) images of the lungs. Current standard measures, such as the relative area of emphysema ...
Lauge Sørensen, Saher B. Shaker, Marleen de...
MICCAI
2007
Springer
14 years 8 months ago
False Positive Reduction in Mammographic Mass Detection Using Local Binary Patterns
In this paper we propose a new approach for false positive reduction in the field of mammographic mass detection. The goal is to distinguish between the true recognized masses and ...
Arnau Oliver, Joan Martí, Jordi Freixenet, ...