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» A Segmentation Algorithm for Noisy Images
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178
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JEI
2007
176views more  JEI 2007»
15 years 3 months ago
Adaptive techniques for microarray image analysis with related quality assessment
We propose novel techniques for microarray image analysis. In particular, we describe an overall pipeline able to solve the most common problems of microarray image analysis. We pr...
Sebastiano Battiato, Gianpiero di Blasi, Giovanni ...
155
Voted
MICCAI
2009
Springer
16 years 4 months ago
Biomechanically-Constrained 4D Estimation of Myocardial Motion
We propose a method for the analysis of Magnetic Resonance (MR) cardiac images with the goal of reconstructing the motion of the ventricular walls. The main feature of our method i...
Hari Sundar, Christos Davatzikos, George Biros
172
Voted
CVPR
2012
IEEE
13 years 6 months ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
149
Voted
CVPR
2005
IEEE
16 years 5 months ago
Coupled PDEs for Non-Rigid Registration and Segmentation
In this paper we present coupled partial differential equations (PDEs) for the problem of joint segmentation and registration. The registration component of the method estimates a...
Gozde B. Unal, Gregory G. Slabaugh
123
Voted
ICVGIP
2004
15 years 5 months ago
Probabilistic Measures for Motion Segmentation
The first contribution of this paper is a probabilistic approach for measuring motion similarity for point sequences. While most motion segmentation algorithms are based on a rank...
Venu Madhav Govindu