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» Applying EM Algorithm for Segmentation of Textured Images
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ICIAR
2004
Springer
14 years 2 months ago
Pulling, Pushing, and Grouping for Image Segmentation
This paper presents a novel computational visual grouping method, termed pulling, pushing and grouping, or PPG for short. Visual grouping is formulated as a functional optimisation...
Guoping Qiu, Kin-Man Lam
ICIP
2005
IEEE
14 years 10 months ago
An active regions approach for the segmentation of 3D biological tissue
Some of the most successful algorithms for the automated segmentation of images use an Active Regions approach, where a curve is evolved so as to maximize the disparity of its int...
Gregory Randall, Juan Cardelino, Marcelo Bertalm&i...
ICIAR
2004
Springer
14 years 2 months ago
A Fast Probabilistic Bidirectional Texture Function Model
The bidirectional texture function (BTF) describes rough texture appearance variations due to varying illumination and viewing conditions. Such a function consists of thousands of ...
Michal Haindl, Jirí Filip
CRV
2009
IEEE
184views Robotics» more  CRV 2009»
14 years 3 months ago
IceSynth: An Image Synthesis System for Sea-Ice Segmentation Evaluation
An ongoing challenge in automatic sea-ice monitoring using synthetic aperture radar (SAR) is the automatic segmentation of SAR sea-ice images based on the underlying ice type. Giv...
Alexander Wong, Wen Zhang, David A. Clausi
MICCAI
2003
Springer
14 years 9 months ago
A New Brain Segmentation Framework
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
Torsten Butz, Patric Hagmann, Eric Tardif, Reto Me...