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» Semantic Object Segmentation by a Spatio-Temporal MRF Model
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MICCAI
2005
Springer
15 years 10 months ago
Cross Entropy: A New Solver for Markov Random Field Modeling and Applications to Medical Image Segmentation
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
Jue Wu, Albert C. S. Chung
ISBI
2009
IEEE
15 years 4 months ago
Lesion Detection and Segmentation in Uterine Cervix Images Using an Arc-Level MRF
This study develops a procedure for automatic extraction and segmentation of a class-specific object (or region) by learning class-specific boundaries. We present and evaluate t...
Amir Alush, Hayit Greenspan, Jacob Goldberger
BMVC
2010
14 years 7 months ago
Segmentation using Deformable Spatial Priors with Application to Clothing
We present a method for segmenting the parts of multiple instances of a known object category exhibiting large variations in projected shape and colour. The method builds on an ex...
Basela Hasan, David Hogg
GIS
2010
ACM
14 years 7 months ago
Energy-efficient processing of spatio-temporal queries in wireless sensor networks
Research on Moving Object Databases (MOD) has resulted in sophisticated query mechanisms for moving objects and regions. Wireless Sensor Networks (WSN) support a wide range of app...
Markus Bestehorn, Klemens Böhm, Erik Buchmann...

Book
5396views
16 years 8 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li