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Extended Dependency Tree-HMM for Non-Rectangular Sub-Images Modeling

Mohamed El yazid Boudaren 1 Abdel Belaïd 2 
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LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This work is motivated by the need of evaluating the likelihood probability on sub-images of not necessarily rectangular shape in some frameworks. For this purpose, we propose an alternative of Dependency Tree- HMM that allows the four traditional interactions between neighboring pixels instead of just two. To demonstrate the accuracy of the proposed model, we provide some classification results performed on high resolution aerial images.
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https://hal.inria.fr/inria-00579675
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Submitted on : Thursday, March 24, 2011 - 3:35:47 PM
Last modification on : Thursday, February 10, 2022 - 11:22:11 AM
Long-term archiving on: : Saturday, June 25, 2011 - 2:49:10 AM

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Mohamed El yazid Boudaren, Abdel Belaïd. Extended Dependency Tree-HMM for Non-Rectangular Sub-Images Modeling. The Fifth International Workshop on Applied Probability - IWAP 2010, Universidad Carlos III de Madrid, Jul 2010, Madrid, Spain. pp.4. ⟨inria-00579675⟩

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