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» Markov Random Field Models in Computer Vision
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ICPR
2010
IEEE
15 years 8 months ago
Statistical Shape Modeling using Morphological Representations
The aim of this paper is to propose tools for statistical analysis of shape families using morphological operators. Given a series of shape families (or shape categories), the appr...
S. Velasco-Forero and J. Angulo
CVPR
2005
IEEE
16 years 3 months ago
Shock Filters Based on Implicit Cluster Separation
One of the classic problems in low level vision is image restoration. An important contribution toward this effort has been the development of shock filters by Osher and Rudin [1]...
Vinay P. Namboodiri, Subhasis Chaudhuri
ICIP
2006
IEEE
16 years 3 months ago
Stochastic Approach to Separate Diffuse and Specular Reflections
This paper presents separation of specular and diffuse reflection components from an image pair. The proposed approach is based on the dichromatic reflectance model and Markov ran...
Sang Hwa Lee, Hyung il Koo, Nam Ik Cho, Jong-Il Pa...
MICCAI
2004
Springer
16 years 2 months ago
Deformable Registration of Tumor-Diseased Brain Images
This paper presents an approach for deformable registration of a normal brain atlas to visible anatomic structures in a tumor-diseased brain image. We restrict our attention to cor...
Tianming Liu, Dinggang Shen, Christos Davatzikos
IPMI
2009
Springer
16 years 2 months ago
Fully-Automated White Matter Hyperintensity Detection With Anatomical Prior Knowledge and Without FLAIR
This paper presents a method for detection of cerebral white matter hyperintensities (WMH) based on run-time PD-, T1-, and T2weighted structural magnetic resonance (MR) images of t...
Charles DeCarli, Christopher Schwarz, Evan Fletche...