Diferencia entre revisiones de «Ramón Moreno Jiménez»
De Grupo de Inteligencia Computacional (GIC)
(→2013) |
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| (No se muestran 5 ediciones intermedias del mismo usuario) | |||
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[http://scholar.google.com/citations?hl=en&user=5PNJr90AAAAJ Google Scholar Index] | [http://scholar.google.com/citations?hl=en&user=5PNJr90AAAAJ Google Scholar Index] | ||
=== 2013 === | === 2013 === | ||
*;''Extreme Learning Machines for Soybean classification in remote sensing Hyperspectral Images'' | |||
:Ramón Moreno, Francesco Corona, et al. Neurocomputing (Submitted) | |||
*;''A Machine Learning based Intelligent Vision System for Autonomous Object Detection and Recognition'' | *;''A Machine Learning based Intelligent Vision System for Autonomous Object Detection and Recognition'' | ||
: D. M. Ramik, R. Moreno, K. Madani, et al. Journal of Electronic Imaging ( | : D. M. Ramik, R. Moreno, K. Madani, et al. Journal of Electronic Imaging (submitted) | ||
*; ''Segmentation of Hyperspectral Images by Chromatic t-Watershed '' | |||
: Ramón Moreno, Manuel Graña. KES Invited Sessions (submitted) | |||
*;''A robust color Watershed transformation and image segmentation defined on RGB Spherical Coordinates'' | *;''A robust color Watershed transformation and image segmentation defined on RGB Spherical Coordinates'' | ||
: Ramon Moreno, Manuel Graña | : Ramon Moreno, Manuel Graña and Kurosh Madani, Robotic Vision: Technologies for Machine Learning and Vision Applications, pp112-128 | ||
: doi:10.4018/978-1-4666-2672-0.ch007 ISBN: 978-1-4666-2734-5 | : doi:10.4018/978-1-4666-2672-0.ch007 ISBN: 978-1-4666-2734-5 | ||
| Línea 46: | Línea 53: | ||
*;''Extreme Learning Machines for Soybean classification in remote sensing Hyperspectral Images'' | *;''Extreme Learning Machines for Soybean classification in remote sensing Hyperspectral Images'' | ||
:Ramón Moreno, Francesco Corona, et al. The International Symposium on Extreme Learning Machines | :Ramón Moreno, Francesco Corona, et al. The International Symposium on Extreme Learning Machines | ||
*;''Hyperspectral Image Segmentation by t-Watershed and Hyperspherical Coordinates'' | *;''Hyperspectral Image Segmentation by t-Watershed and Hyperspherical Coordinates'' | ||
Revisión actual - 18:40 15 dic 2012
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Publications
Current works Google Scholar Index
2013
- Extreme Learning Machines for Soybean classification in remote sensing Hyperspectral Images
- Ramón Moreno, Francesco Corona, et al. Neurocomputing (Submitted)
- A Machine Learning based Intelligent Vision System for Autonomous Object Detection and Recognition
- D. M. Ramik, R. Moreno, K. Madani, et al. Journal of Electronic Imaging (submitted)
- Segmentation of Hyperspectral Images by Chromatic t-Watershed
- Ramón Moreno, Manuel Graña. KES Invited Sessions (submitted)
- A robust color Watershed transformation and image segmentation defined on RGB Spherical Coordinates
- Ramon Moreno, Manuel Graña and Kurosh Madani, Robotic Vision: Technologies for Machine Learning and Vision Applications, pp112-128
- doi:10.4018/978-1-4666-2672-0.ch007 ISBN: 978-1-4666-2734-5
- Visual Detection in Linked Multi-Component Robotic Systems
- J.M. Lopez-Guede, B. Fernandez-Gauna, R. Moreno and M. Graña, Robotic Vision: Technologies for Machine Learning and Vision Applications. pp78-97
- doi:10.4018/978-1-4666-2672-0.ch007 ISBN: 978-1-4666-2734-5
2012
- Spherical Coordinates Framed RGB Color Space Dichromatic Reflection Model Based Image Segmentation: Application to Wildland Fires’ Outlines Extraction
- V. Amarger, D. M. Ramík, C. Sabourin, K. Madani, R. Moreno, L. Rossi, M.Graña. Proceedings of International conference on Image Processing Theory, Tools and Applications (IEEE-IPTA 2012), ISBN: 978-1-4673-2582-0, Istanbul, Turkey, October 15 - 18, pp. 19-24, 2012.
- Extreme Learning Machine for Dimensionality Reduction and Classification on Hyperspectral Images
- Ramón Moreno, Manuel Graña and Alicia D’Anjou. Proceedings of the 7th International Conference on Neural Networks and Artificial Intelligence, ICNNAI'2012, 2012, 231-234
- Extreme Learning Machines for Soybean classification in remote sensing Hyperspectral Images
- Ramón Moreno, Francesco Corona, et al. The International Symposium on Extreme Learning Machines
- Hyperspectral Image Segmentation by t-Watershed and Hyperspherical Coordinates
- Ramón Moreno and Alicia d'Anjou. Frontiers in Artificial Intelligence and Applications Volume 243, 2012 pp.2114 -2121
- Advances in Knowledge-Based and Intelligent Information and Engineering Systems Edited by Manuel Graña et al.
- ISBN 978-1-61499-104-5 DOI: 10.3233/978-1-61499-105-2-2114
- Image Segmentation on the Spherical Coordinate Representation of the RGB Color Space
- R. Moreno, D. M. Ramik, M. Graña, and K. Madani, IET Image processing pp1-9 doi: 10.1049/iet-ipr.2011.0634
- About Gradient operators on Hyperspectral Images
- Ramón Moreno, Manuel Graña. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods, pages 433-437
- DOI: 10.5220/0003863904330437 Slides
- A Hybrid Gradient for n-Dimensional Images through Hyperspherical Coordinates
- Ramón Moreno, Manuel Graña. HAIS 2012 , Hybrid Artificial Intelligent Systems Lecture Notes in Computer Science, 2012, Volume 7209/2012, 404-415,
- DOI: 10.1007/978-3-642-28931-6_39 Slides
- Thesis: Contributions to Robust Chromatic Digital Image Processing download it!
2011
- Fuzzy Watershed for Image Segmentation
- Wildland Fires’ Outlines Extraction a Spherical Coordinates Framed RGB Color Space Dichromatic Reflection Model Based Image Segmentation Approach
- Véronique Amarger, Dominik M. Ramík, Ramon Moreno, Lucile Rossi, Kurosh Madani, Manuel Graña. Proceedings of the 11th International Conference on Pattern Recognition and Information Processing (PRIP'11) pp:451-454
- Image Segmentation by Spherical Coordinates
- Ramón Moreno, Manuel Graña,Dominik M. Ramík,Kurosh Madani . Proceedings of the 11th International Conference on Pattern Recognition and Information Processing (PRIP'11) pp:112-115 Slides
- A geometrical method of diffuse and specular image components separation
- Ramón Moreno, Manuel Graña, Alicia d'Anjou. IWANN 2011, Part II, LNCS 6692, pp. 83–89, 2011 Slides
- A Hybrid Color Distance for Image Segmentation
- Ramón Moreno, Manuel Graña, Alicia d'Anjou. HAIS 2011, Part II, LNAI 6679, pp. 447–454, 2011 Slides
- Illumination Source Chromaticity Estimation Based on Spherical Coordinates in RGB
- Ramón Moreno, Manuel Graña, Alicia d'Anjou .Electron. Lett. -- 6 January 2011 -- Volume 47, Issue 1, p.28–30 doi:10.1049/el.2010.2735
2010
- Linked Multi-Component Mobile Robots; modeling, simulation and control
- Z. Echegoyen, I. Villaverde, R. Moreno, M. Graña, A. d'Anjou. Robotics and Autonomous Systems, Volume 58, Issue 12, 31 December 2010, Pages 1292-1305 Intelligent Robotics and Neuroscience link
- An RGB Color Gradient following Color Constancy Preservation
- Ramón Moreno, Manuel Graña, Ekaitz Zulueta. Electronic Letters, vol. 46, pp. 908–910, June 2010. link
- Hybrid Color Space Transformation to Visualize Color Constancy
- Ramón Moreno, J.M. López-Guede, Alicia d'Anjou. LNCS 6077, Hybrid Artificial Intelligence Systems,pp.241 - 247 Vol. 2 ISBN 978-3-642-13802-7 DOI: 10.1007/978-3-642-13803-4_30
- An image color Gradient Preserving Color constancy (Download slides)
- Ramón Moreno, Manuel Graña, Alicia d'Anjou. FUZZ-IEEE 2010, IEEE catalog Number: CFP10FUZ-DVD pp.710-714 ISBN 978-1-4244-6920-8
- A color transformation for robust detection of color landmarks in robotic contexts
- Ramón Moreno, Manuel Graña, Alicia d'Anjou. In Y. Demazeau et al. (Ed.), Trends in Practical Applications of Agents and Multiagent Systems, Advances in Soft Computing, volume 71/2010, SMC DOI PAAMS 2010
- Experiments on Robotic Multi-Agent System for Hose Deployment and Transportation
- Ivan Villaverde, Zelmar Echegoyen, Ramón Moreno and Manuel Graña,J.M López Guede. In Y. Demazeau et al. (Ed.), Trends in Practical Applications of Agents and Multiagent Systems, Advances in Soft Computing, volume 71/2010, 573-580, Springer, 2010. DOI PAAMS 2010
2009
- Estimación de la cromacidad de la luz
- Ramón Moreno. III jornadas de Inteligencia Computacional. Servicio Editorial de la UPV/EHU, 2009 ISBN: 978-84-9860-320-0
- Control visual para multi-robots, Implementación de un aprueba de concepto de un SRMC Enlazado
- Ivan Villaverde, Zelmar Echegoyes, Ramón Moreno. III jornadas de Inteligencia Computacional. Servicio Editorial de la UPV/EHU, 2009 ISBN: 978-84-9860-320-0
- Bayesian Reflectance Component Separation (Download slides)
- Ramón Moreno, Manuel Graña, Alicia d’Anjou, Carmen Hernandez. J.D. Velásquez et al. (Eds.): KES 2009, Part II, LNAI 5712, pp. 846–852, 2009. DOI © Springer-Verlag Berlin Heidelberg 2009 ISBN:978-3-642-040594-3
2008
- Reflectance Analysis I (Download slides)
- Ramón Moreno. Actas de las II jornadas de Inteligencia Computacional ISBN 978-84-296-2316-1
- Evolutive Parametric Approach for Specular Correction in the Dichromatic Reflection Model (Download slides)
- Ramón Moreno, Alicia D'Anjou, Manuel Graña. :E. Corchado, A. Abraham, and W. Pedrycz (Eds.): HAIS 2008, LNAI 5271, pp. 665–672, 2008.DOI © Springer-Verlag Berlin Heidelberg 2008 ISBN 978-3-540-87655-7
2007
- Visión por computador y clasificación aplicadas a la micología (Download slides)
- Ramón Moreno. Actas de las I jornadas de Inteligencia Computacional,pp. 208-224 ISBN 978-84-9860-019-3 (2007)
- A Remote Mycological Assistant (Download slides) (Download Mycolgical Data Base)
- Ramon Moreno, Manuel Grana Romay, Miguel Angel Veganzones. IDAACS'2007, Anatoly Sachenko, Peter J. A. Reusch, Richard Duro, Wieslaw Winiecki (eds), IEEE Press, pp. 408-412 ISBN 1-4244-1348-6
- Inteligencia ambiental, sistemas ubícuos y visión por computador en telefonía móvil. Estado del arte (Download slides)
- Ramón Moreno. Actas de las I jornadas de Inteligencia Computacional,pp.417-431 ISBN 978-84-9860-019-3 (2007)
- Convex coordinates from lattice independent sets for visual pattern recognition
- Manuel Graña, Ivan Villaverde, Ramon Moreno, Francisco X. Albizuri Computational Intelligence Based on Lattice Theory, G. Ritter, V. Kaburlasos (eds), Springer Verlag, pp: 99-126 DOI ISBN 978-3-540-72686-9
2006
- Convex Coordinates Based on Lattice Independent Sets as Pattern Features
- Manuel Graña, Ramón Moreno, F.X. Albizuri. International Conference on Fuzzy Systems, WCCI'06. Vancouver, BC, Canada. 2006 ISBN 0-7803-9489-5/06
Current Research
Unsupervised image segmentation of hyperpstectral images
Interships
Lavoratoire Images, Signaux et Systemes Intelligents LISSI-Sénart, Université Paris-Est Créteil. September-December 2010
Instituto Nacional de Pesquisas Espaciais (INPE). Sao Jose dos Campos, Sao Paulo, Brasil. September-November 2011 (Slides of the last day)
Conference Reviews and Program Committee
- IWANN 2007, 2009
- HAIS 2008, 2010, 2011, 2012
- KES 2010, 2011, 2012
- JIC : 2007, 2008, 2009
Conference Organizer
- IWANN 2007
- HAIS 2010
- JIC 2007 2008
Journal Reviewer on
Links
ToolsThe open source platform for numerical computation SCILAB Scilab Image Processing SIP Scale Invariant Features Transform SIFT GSL Mathematical library c++ Magick++ C++ interface for Graphics Magick Matlab toolbox for dimensionality reduction
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Information sources |
Java tools |
Others[ http://alweb.ehu.es/ccwintco/jic2008/ web upload papers] Computer Image Analysis, Computer Vision Conferences, Current and Future DataSets |
Imminent Conferences
Magazines of interest
International Journal of Computer Vision
Electronic Letters in Computer Vision and Image Analysis
Journal of Location Based Services
Apendix of some publications
The images for our experiments are here Images
Sources of the Spherical interpretation of the RGB color space and its applications on Robotic Vision: Technologies for Machine Learning and Vision Applications
How to run OTB-Wrapper with Netbeans
-Djava.library.path='/usr/lib/otb-wrapping/lib'
Teaching
Vision por Computador I
- Colorimetría : Descomposición del color en intensidad y cromacidad.
- Practicas : Hallar la intensidad de una imagen, la cromacidad, la saturación.
- Gradientes: Definición e implementación.
- Electromagnetismo, Luz, e imágenes hiperspectrales
- Código fuente de las prácticas para Scilab y SIVP toolbox
Percepcion Artificial
- Definicion de imágenes hiperespectrales.
- Herramientas tecnológicas: Scilab, SIPV, OpenMP, C++ , Qt, Orfeo Tool Box (OTB), Monteverdi
- Ejemplos segmentando con Monteverdi
Presentaciones
- Ejemplo de Imagen Hiperspectral. Está para Scilab, se carga con el comando "load Scene-5.3.dat". La imagen queda guardada en la variable HI.
