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» Level Set Methods for Watershed Image Segmentation
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BMEI
2008
IEEE
13 years 11 months ago
Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
TMI
2002
248views more  TMI 2002»
13 years 8 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
DICTA
2007
13 years 10 months ago
Ridge Enhancement in Fingerprint Images Using Oriented Diffusion
The extraction of “Level 2” detail — ridge terminations, ridge bifurcations, bridges etc. — from digitised images of fingerprints requires an accurate segmentation of the...
Robert O. Hastings
ICPR
2010
IEEE
13 years 6 months ago
Robust Foreground Object Segmentation via Adaptive Region-Based Background Modelling
We propose a region-based foreground object segmentation method capable of dealing with image sequences containing noise, illumination variations and dynamic backgrounds (as often...
Vikas Reddy, Conrad Sanderson, Brian C. Lovell
IWCIA
2004
Springer
14 years 2 months ago
Shape Preserving Sampling and Reconstruction of Grayscale Images
Abstract. The expressiveness of a lot of image analysis algorithms depends on the question whether shape information is preserved during digitization. Most existing approaches to a...
Peer Stelldinger