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ICASSP
2011
IEEE
14 years 5 months ago
A new stochastic image model based on Markov random fields and its application to texture modeling
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is intr...
Siamak Yousefi, Nasser D. Kehtarnavaz
ANLP
2000
114views more  ANLP 2000»
15 years 3 months ago
Unsupervised Discovery of Scenario-Level Patterns for Information Extraction
Information Extraction (IE) systems are commonly based on pattern matching. Adapting an IE system to a new scenario entails the construction of a new pattern base--a timeconsuming...
Roman Yangarber, Ralph Grishman, Pasi Tapanainen
SIAMSC
2008
126views more  SIAMSC 2008»
15 years 1 months ago
Towards a Statistical Theory of Texture Evolution in Polycrystals
Abstract. Most technologically useful materials possess polycrystalline microstructures composed of a large number of small monocrystalline grains separated by grain boundaries. Th...
K. Barmak, M. Emelianenko, Dmitry Golovaty, David ...
130
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SSPR
2010
Springer
15 years 8 days ago
A Psychophysical Evaluation of Texture Degradation Descriptors
Delivering digitally a realistic appearance of materials is one of the most difficult tasks of computer vision. Accurate representation of surface texture can be obtained by means ...
Jirí Filip, Pavel Vácha, Michal Hain...
ICIAP
2001
Springer
16 years 2 months ago
Wavelet-Based Texture Segmentation of Remotely Sensed Images
In this article a texturefeature extraction scheme based on M-band waveletpacketframes is investigated. Thefeatures so extracted are usedfor segmentation of satellite images which...
Mausumi Acharyya, Malay K. Kundu