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ISBI
2007
IEEE
15 years 4 months ago
Efficient Use of Cerebral Cortical Thickness to Correct Brain Mr Segmentation
Efficient, automatic and robust tools for measurement of cerebral cortical thickness would aid diagnosis and longitudinal studies of neurodegenerative disorders. In this work, we...
Thanh-Mai Diep, Pierrick Bourgeat, Sébastie...
ECCV
2000
Springer
16 years 12 hour ago
A Physically-Based Statistical Deformable Model for Brain Image Analysis
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...
ICIP
2001
IEEE
15 years 11 months ago
Improving a genetic algorithm segmentation by means of a fast edge detection technique
Thispaper presents a new hybrid range image segmentation approach. Two separate techniques are applied consecutively. First, iin edge based segmentation technique extracts the edg...
Angel Domingo Sappa, Vitoantonio Bevilacqua, Miche...
PAMI
2006
99views more  PAMI 2006»
14 years 10 months ago
A New Convexity Measure Based on a Probabilistic Interpretation of Images
In this article we present a novel convexity measure for object shape analysis. The proposed method is based on the idea of generating pairs of points from a set, and measuring th...
Esa Rahtu, Mikko Salo, Janne Heikkilä
ICIP
2007
IEEE
14 years 10 months ago
ML Nonlinear Smoothing for Image Segmentation and its Relationship to the Mean Shift
This paper addresses the issues of nonlinear edge-preserving image smoothing and segmentation. A ML-based approach is proposed which uses an iterative algorithm to solve the probl...
Andy Backhouse, Irene Y. H. Gu, Tiesheng Wang