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» Level set image segmentation with Bayesian analysis
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CVPR
2006
IEEE
16 years 5 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 8 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 3 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
15 years 10 months 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
141
Voted
CVPR
2010
IEEE
15 years 11 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