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» Level set image segmentation with Bayesian analysis
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CVPR
2006
IEEE
16 years 8 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
SSIAI
2002
IEEE
15 years 11 months ago
Volumetric Segmentation via 3D Active Shape Models
A volumetric image segmentation algorithm has been developed and implemented by extending a 2D algorithm based on Active Shape Models. The new technique allows segmentation of 3D ...
Molly M. Dickens, Shaun S. Gleason, Hamed Sari-Sar...
JMM2
2008
116views more  JMM2 2008»
15 years 6 months ago
Multi-Scale Criteria for the Evaluation of Image Segmentation Algorithms
Abstract-- This paper deals with evaluation of image segmentation methods. We start with a state-of-the art of the evaluation criteria, involving a reference segmentation or not. B...
Sylvie Philipp-Foliguet, Laurent Guigues
ICDAR
2009
IEEE
16 years 23 days ago
A Set of Chain Code Based Features for Writer Recognition
This communication presents an effective method for writer recognition in handwritten documents. We have introduced a set of features that are extracted from the contours of handw...
Imran Siddiqi, Nicole Vincent
CVPR
2010
IEEE
16 years 2 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth