A new approach to image segmentation with two-dimensional hidden Markov models
Fil: Baumgartner, Josef. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.
| Main Authors: | , , , |
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| Format: | conferenceObject |
| Language: | eng |
| Published: |
2021
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| Online Access: | http://hdl.handle.net/11086/21146 |
| _version_ | 1801214929577967616 |
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| author | Baumgartner, Josef Flesia, Ana Georgina Gimenez, Javier Pucheta, Julian |
| author_facet | Baumgartner, Josef Flesia, Ana Georgina Gimenez, Javier Pucheta, Julian |
| author_sort | Baumgartner, Josef |
| collection | Repositorio Digital Universitario |
| description | Fil: Baumgartner, Josef. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. |
| format | conferenceObject |
| id | rdu-unc.21146 |
| institution | Universidad Nacional de Cordoba |
| language | eng |
| publishDate | 2021 |
| record_format | dspace |
| spelling | rdu-unc.211462021-11-05T09:22:58Z A new approach to image segmentation with two-dimensional hidden Markov models Baumgartner, Josef Flesia, Ana Georgina Gimenez, Javier Pucheta, Julian Classification Agriculture Markov Models Hidden Markov chains Fil: Baumgartner, Josef. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Fil: Flesia, Ana Georgina. Universidad Tecnológica Nacional; Argentina. Fil: Flesia, Ana Georgina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Flesia, Ana Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Gimenez, Javier. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Pucheta, Julián. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Image segmentation is one of the fundamental problems in computer vision. In this work, we present a new segmentation algorithm that is based on the theory of twodimensional hidden Markov models (2D-HMM). Unlike most 2DHMM approaches we do not apply the Viterbi Algorithm, instead we present a computationally efficient algorithm that propagates the state probabilities through the image. This approach can easily be extended to higher dimensions. We compare the proposed method with a 2D-HMM standard algorithm and Iterated Conditional Modes using real world images like a radiography or a satellite image as well as synthetic images. The experimental results show that our approach is highly capable of condensing image segments. This gives our algorithm a significant advantage over the standard algorithm when dealing with noisy images with few classes. Fil: Baumgartner, Josef. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Fil: Flesia, Ana Georgina. Universidad Tecnológica Nacional; Argentina. Fil: Flesia, Ana Georgina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Flesia, Ana Georgina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Gimenez, Javier. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina. Fil: Pucheta, Julián. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Sistemas de Automatización y Control 2021-11-03T18:02:40Z 2021-11-03T18:02:40Z 2013 conferenceObject http://hdl.handle.net/11086/21146 eng Attribution-NonCommercial-ShareAlike 4.0 International https://creativecommons.org/licenses/by-nc-sa/4.0/ Electrónico y/o Digital |
| spellingShingle | Classification Agriculture Markov Models Hidden Markov chains Baumgartner, Josef Flesia, Ana Georgina Gimenez, Javier Pucheta, Julian A new approach to image segmentation with two-dimensional hidden Markov models |
| title | A new approach to image segmentation with two-dimensional hidden Markov models |
| title_full | A new approach to image segmentation with two-dimensional hidden Markov models |
| title_fullStr | A new approach to image segmentation with two-dimensional hidden Markov models |
| title_full_unstemmed | A new approach to image segmentation with two-dimensional hidden Markov models |
| title_short | A new approach to image segmentation with two-dimensional hidden Markov models |
| title_sort | new approach to image segmentation with two dimensional hidden markov models |
| topic | Classification Agriculture Markov Models Hidden Markov chains |
| url | http://hdl.handle.net/11086/21146 |
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