Descripción
El procesamiento de señal e imagen es un amplio campo que engloba la adquisición de datos de nuestro entorno, la manipulación o procesamiento de los datos para su conversión en una forma útil, la extracción de información a partir de esos datos y el análisis o interpretación de la información extraída.
Esta línea surge en el GII de la necesidad de interactuar con el entorno en distintos ámbitos (dinámica de fluidos, robótica autónoma, interacción humano máquina, etc), convirtiéndose en la actualidad en una sólida línea de investigación dentro del grupo, cuyas actividades se centran principalmente en el diseño e implementación de dispositivos de medida y en el desarrollo de algoritmos de procesamiento de señal e imagen.
Uno de los intereses de esta línea, incluye el desarrollo de nuevos dispositivos para la adquisición de señales multidimensionales. En los últimos años, se han desarrollado en el grupo dos prototipos de cámaras hiperespectrales, dispositivos capaces de adquirir imágenes en las que para cada pixel se tiene información de cientos de bandas correspondientes a un amplio rango del espectro electromagnético. El desarrollo de nuevos prototipos tiene asociada una tarea de análisis de la señal espacio-espectral para la corrección de desalineaciones y distorsiones, lo que ha supuesto el desarrollo de nuevos algoritmos que actúen sobre la señal de forma lo más automáticamente posible.
Se desarrollan algoritmos de procesamiento de señal e imagen tanto de propósito general, como orientados a problemas específicos, distinguiendo entre procesamiento de señales uni o multidimensionales procedentes de sistemas de medida (hilo caliente, velocimetría laser, medidas sonoras y otras), procesamiento de imágenes y procesamiento de imágenes hiperespectrales.
En cuanto a la naturaleza de la señal a procesar, la tarea investigadora se centra por un lado, en el procesamiento de señales unidimensionales para llevar a cabo estimación de medidas, reducción de ruido, restauración de señal, predicción, etc.; y por otro, en el procesamiento de imágenes en escala de gris, RGB, multi o hiperespectrales focalizado en tareas de procesamiento general (segmentación, clasificación, detección de bordes, reducción de ruido, etc.) o en tareas procesamiento ad-hoc.
La experiencia investigadora en esta línea cubre un amplio espectro de técnicas de procesamiento, basadas la mayoría en técnicas de inteligencia computacional.
Proyectos asociados
- A-TEMPO: Avances en Tecnologías Marinas - Producción Naval y Offshore
- Detección y prevención inteligente de la resonancia paramétrica en buques
- TECOOPAGA: Tecnologías para el diagnóstico, control y mejora del estatus sanitario
- FEWIND: Sistema de soldadura robotizado por arco sumergido
- Técnicas de inteligencia computacional para el procesado de imagen hiperespectral
- Pizaconta: sistema portátil para el recuento de piezas de pizarra en palé
- Rosa-Mitus: Sensorización ambiental basada en multisensores en el transporte urbano
- Automatización do proceso de clasificación de pedras naturais baseado en análisis de texturas
- Vacacorp: sistema de visión artificial para cálculo automático de la condición corporal
- Arquitectura basada en agentes de perfilado para el seguimiento biométrico y gestión de deportistas
- SHIPER: Sistema hiperespectral aplicado a sensorización medioambiental
- Sistema Hiperespectral Multisensor para discriminación de materiales en línea de procesado
- SIMMAP: CAPTACION Y PROCESAMIENTO DE IMAGENES DE SENSORIZACION SEMI-REMOTA
Entidades colaboradoras
- AIMEN Centro Tecnológico
- Artabro Samdeu SL
- Conexiona Telecom S. L.
- Cooperativas Ourensanas S. C. G. (COREN)
- Electrorayma S.L.
- Europizarras S.A.
- Feiraco S. C. G.
- Industrias y Talleres Franco S.L. (INTAF)
- Instituto Galego da Calidade Alimentaria
- Ministerio de Economía y Competitividad
- Navantia S.A.
- Picobello Andalucita S.L.
- Universidad de Extremadura
- Universidad de Vigo
- Universidad del País Vasco
- Universidade da Coruña
- Universidade de Santiago de Compostela
- Xunta de Galicia
Publicaciones relacionadas
- Blanca Priego, Richard J. Duro, AMIGO: A Tool for the Generation of Synthetic Hyperspectral Images, Proceedings of the 9th Workshop on Hyperspectral Image Processing: Evolution in Remote Sensing, pp 130 - 134, 2018
- Priego, B., Duro, R. J., & Chanussot, J., Cellular Automata-Based Image Sequence Denoising Algorithm for Signal Dependent Noise, Proceedings of In International Work-Conference on the Interplay Between Natural and Artificial Computation, pp 333 - 342, 2017
- Blanca Priego, Abraham Prieto, Richard J. Duro, Jocelyn Chanussot, Spatio-Temporal Cellular Automata-Based Filtering for Image Sequence Denoising, Proceedings of International Joint Conference on Neural Networks, IJCNN 2017, pp 2362 - 2369, 2017
- Gervasio Varela, Pilar Caamaño, Felix Orjales, Álvaro Deibe, Fernando López-Peña, Richard J. Duro, Autonomous UAV Based Search Operations Using Constrained Sampling Evolutionary Algorithms, Neurocomputing, pp 54 - 67, 2014
- Rafael Tedín, José A. Becerra and Richard J. Duro, Building the "Automatic Body Condition Assessment System" (ABiCA), an Automatic Body Condition Scoring System using Active Shape Models and Machine Learning, Recent Advances in Knowledge-based Paradigms and Applications (Advances in Intelligent Systems and Computing), pp 145 - 168, 2014
- R. Tedín, J.A. Becerra, Richard J. Duro, Using classifiers as heuristics to describe local structure in Active Shape Models with small training sets, Pattern Recognition Letters, pp 1710 - 1718, 2013
- Blanca Priego, Daniel Souto, Francisco Bellas, Richard J. Duro, Hyperspectral Image Segmentation through Evolved Cellular Automata, Pattern Recognition Letters, pp 1648 - 1658, 2013
- Blanca Priego, Miguel A Veganzones, Jocelyn Chanussot, Carole Amiot, Abraham Prieto, Richard Duro,, Spatio-Temporal Cellular Automata-Based Filtering for Image Sequence Denoising: Application to Fluoroscopic Sequences, Proceedings of 20th IEEE International Conference on Image Processing 2013, pp 548 - 552, 2013
- Blanca Priego, Daniel Souto, Francisco Bellas, Richard J. Duro, Addressing the Training Problem in Cellular Automata based Hyperspectral Image Segmentation, Proceedings of the 7th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, pp 382 - 387, 2013
- F. López Peña, M. Míguez González, V. Díaz Casás, R. J. Duro, D. Pena Agras, An ANN Based System for Forecasting Ship Roll Motion, Proceedings of 2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2013), pp 168 - 173, 2013
- Rafael Tedín, J. A. Becerra, Richard J. Duro, Fernando López Peña, Computational Intelligence based Construction of a Body Condition Assessment System for Cattle, Proceedings 2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), pp 185 - 190, 2013
- B. Priego, D. Souto, F. Bellas, F. López-Peña, R. J. Duro, An Evolved Cellular Automata Based Approach to Hyperspectral Image Processing, Advanced Techniques for Knowledge Engineering and Innovative Applications, pp 115 - 135, 2013
- Blanca Priego, Daniel Souto, Francisco Bellas, Richard J. Duro, Unsupervised Segmentation of Hyperspectral Images through Evolved Cellular Automata, 2012 Proceedings of the 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, pp 2160 - 2169, 2012
- Rafael Tedín, J. A. Becerra, Richard J. Duro, Ismael Martínez Lede, Towards Automatic Estimation of the Body Condition Score of Dairy Cattle Using Hand-held Images and Active Shape Models, Frontiers in Artificial Intelligence and Applications, pp 2150 - 2159, 2012
- Richard J. Duro, Fernando López Peña, Digital Image and Signal Processing for Measurement Systems, 2012
- D.B. Heras, F. Argüello, J. López Gómez, B. Priego and J.A. Becerra, Towards Real-Time Image Processing: A GPGPU Implementation of Target Identification, Digital Image and Signal Processing for Measurement Systems, pp 235 - 265, 2012
- Blanca Priego, Daniel Souto, Francisco Bellas, Richard J. Duro and Fernando López-Peña, A Temporal Based Process Classification Approach Using Hyperspectral Image Sequences, Digital Image and Signal Processing for Measurement Systems, pp 267 - 287, 2012
- Blanca Priego, Francisco Bellas, Daniel Souto, Fernando Lopez-Pena and Richard J. Duro, Evolving Cellular Automata for Detecting Edges in Hyperspectral Images, Proceedings of the IEEE World Congress on Computational Intelligence (WCCI) 2012, pp 658 - 663, 2012
- Blanca Priego, Richard J. Duro, Francisco Bellas, Daniel Souto, Neural Based Rotation And Scale Independent Detection Of Targets In A Hyperspectral Waterway Monitoring System, 2012 ICPRAM International Conference on Pattern Recognition Applications and Methods, pp 419 - 425, 2012
- Gervasio Varela, Pilar Caamaño, Felix Orjales, Álvaro Deibe, Fernando López-Peña and Richard J. Duro, Swarm Intelligence based Approach for Real Time UAV Team Coordination in Search Operations, Third World Congress on Nature and Biologically Inspired Computing, pp 372 - 377, 2011
- Blanca Priego, Daniel Souto, Francisco Bellas, Richard J. Duro, Fernando López-Peña, Time in Hyperspectral Processing: a Temporal based Classification Approach, The 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, pp 341 - 346, 2011
- D. B. Heras , F. Arguello , J. Lopez Gomez , J. A. Becerra , Richard J. Duro, Towards Real-time Hyperspectral Image Processing, a GP-GPU Implementation of Target Identification, Proceedings 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS 2011), pp 316 - 321, 2011
- Blanca Priego, Daniel Souto, Fernando Lopez Peña, Richard J. Duro, An ANN based Hyperspectral Waterway Control and Security System, 2011 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, pp 1 - 6, 2011
- Abraham Prieto, Francisco Bellas, Richard J. Duro, and Fernando López-Peña, An Adaptive Approach for the Progressive Integration of Spatial and Spectral Features When Training Ground-Based Hyperspectral Imaging Classifiers, IEEE Transactions on Instrumenttion and Measurement, pp 2083 - 2093, 2010
- Fernando Lopez-Peña, Gervasio Varela, Alejandro Paz-Lopez, Richard J. Duro and Francisco J. González-Castaño, Public Transportation Based Dynamic Urban Pollution Monitoring System, Sensors & Transducers, pp 13 - 25, 2010
- G. Varela, A. Paz-Lopez, R. J. Duro, F. Lopez-Peña, F. J. González-Castaño, An Integrated System for Urban Pollution Monitoring through a Public Transportation based Opportunistic Mobile Sensor Network, Proceedings of the 5th IEEE International Workshop on Intelligent Data Acquision and Advanced Computing Systems: Technology and Applications, pp 148 - 153, 2009
- J. Monroy, F. Bellas, R.J. Duro, R. Lopez, A. Puentes, J. Isaac, Automatic Speech-Lip Synchronization System for 3D Animation, Lecture Notes in Computer Science, pp 122 - 129, 2009
- Abraham Prieto, Francisco Bellas, Richard J. Duro, Fernando Lopez-Peña, An Incremental Learning Algorithm for Optimizing High-Dimensional ANN-Based Classification Systems, Lecture Notes in Computer Science, pp 1037 - 1044, 2009
- Abraham Prieto, Francisco Bellas, Fernando Lopez-Peña, Richard J. Duro, Automatic Preprocessing and Classification System for High Resolution Ultra and Hyperspectral Images, Computational Intelligence for Remote Sensing, pp 313 - 340, 2008
- F. Gil-Castiñeira, F.J. González-Castaño, R. J. Duro, F. Lopez-Peña, Urban Pollution Monitoring through Opportunistic Mobile Sensor Networks Based on Public Transport, Proceedings of IEEE International Conference on Computational Intelligence for Measurement Systems And Applications (CIMSA2008), pp 70 - 74, 2008
- A. Prieto, F. Bellas, F. López-Peña, R. J. Duro, Integration of Spatial Information in Hyperspectral Imaging for Real Time Quality Control in an Andalusite Processing Line, Lecture Notes in Computer Science, pp 292 - 299, 2006
- Abraham Prieto, F. Bellas, R. J. Duro, F. López-Peña, Adaptive Spatio-Spectral Hyperspectral Image Processing for Online Industrial Classification of Inhomogeneous Materials, Proceedings of 2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, pp 116 - 121, 2006
- Abraham Prieto, F. Bellas, R. J. Duro, F. López-Peña, An Adaptive Visual Gesture Based Interface for Human Machine Interaction in Intelligent Workspaces, Proceedings of 2006 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems, pp 43 - 48, 2006
- F. López Peña, F. Bellas, R. J. Duro and M. L. Sánchez Simón, Using Adaptive Artificial Neural Networks for Reconstructing Irregularly Sampled Laser Doppler Velocimetry Signals, IEEE Transactions on Instrumentation and Measurement, pp 916 - 922, 2006
- F. Lopez Peña, Special issue on selected papers presented at IDAACS 2003 (Guess Editorial), Computer Standards & Interfaces, pp 139 - 140, 2005
- F. Bellas, F. Lopez-Peña, R. J. Duro, M. Sanchez-Simon, Analysis of Hot-Wire Anemometer Turbulent Signals by Means of Delay Based Network, Proceedings of the third IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, pp 8 - 12, 2005
- F. Bellas, R.J. Duro, F. Lopez-Peña, Blind Signal Separation through Cooperating ANNs, Lecture Notes in Artificial Intelligence, pp 847 - 853, 2005
- F. Lopez Peña, F. Bellas, R. J. Duro, and M. L. Sanchez Simon, On the use of Delay Based Networks in the Analysis of Turbulent Signals, Proceedings of the CIMSA 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, pp 341 - 346, 2005
- A. Prieto, F. Bellas, R.J. Duro, and F. Lopez-Peña, A Comparison of Gaussian Based ANNs for the Classification of Multidimensional Hyperspectral Signals, Lecture Notes in Computer Science, pp 829 - 836, 2005
- F. López Peña, R. J. Duro, A Hyperspectral Based Multisensor System for Marine Oil Spill Detection, Lecture Notes in Artificial Intelligence, pp 669 - 676, 2004
- J. L. Crespo, R. J. Duro and F. López Peña, Spectral Unmixing Through Gaussian Synapse ANNs in Hyperspectral Images, Lecture Notes in Artificial Intelligence, pp 661 - 668, 2004
- J. L. Crespo, R.J. Duro, F. López Peña, Unmixing Low Ratio Endmembers through Gaussian Synapse ANNs in Hyperspectral Images, Proc. of CIMSA 2004 IEEE International Symposium on Computational Intelligence for Measurement Systems and Applications, pp 150 - 154, 2004
- F. López Peña, F. Bellas, R.J. Duro and M. Sánchez Simón, Reconstructing Irregularly Sampled Laser Doppler Signals by Using Artificial Neural Networks, Proceedings of the Second IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, pp 99 - 105, 2003
- F. López Peña and R.J. Duro, A Virtual Instrument for Anemometer Calibration with ANN Based Supervision, IEEE Transactions on Instrumentation and Measurement, pp 654 - 661, 2003
- R.J. Duro, J.L. Crespo and F. López Peña, Gaussian Synapse ANNs in Multi and Hyperspectral Image Data Analysis, IEEE Transactions on Instrumentation and Measurement, pp 724 - 732, 2003
- J. L. Crespo, Richard J. Duro, F. López-Peña, Gaussian Synapse Networks for Hyperspectral Image Segmentation, Lecture Notes in Artificial Intelligence, pp 500 - 508, 2002
- F. López Peña, R.J. Duro, M. Sánchez Simón, Detecting Coherent Structures in a Turbulent Wake using Delay based Networks, Computer Standards & Interfaces, pp 171 - 184, 2002
- J.L. Crespo, R.J. Duro and F. López Peña., On the Use of Gaussian Synapse ANNs in Multi and Hyperspectral Image Data Analysis, Proceedings of 2002 IEEE International Symposium on Virtual and Intelligent Measurement Systems. Distributed Intelligent Sensing for Advanced Virtual Environments. VIMS 2002, pp 84 - 88, 2002
- López Peña, F., Barro Eiroa, A., and Duro, R. J., A Neural Network Based System Supervising an Anemometer Calibrator, Proceedings NATO Advanced Study Institute on Neural Networks for Instrumentation, Measurement and Related Industrial Applications NIMIA 2001, pp 45 - 49, 2001
- López Peña, F., Sanchez Simon, M., Duro, R. J. , Vilaboy Rego, D., Using Delay Based Networks for Detecting Coherent Structures in Turbulence from Hot Wire Anemometer Signals, Proceedings International Workshop on Intelligent Data Acquisition and Advanced Computer Systems IDAACS 2001, pp 25 - 30, 2001
- López Peña, F., Barro Eiroa, A., and Duro, R. J., Development of a Virtual Instrument for Automatic Calibration of Anemometers, Proceedings International Workshop on Virtual and Intelligent Measurement Systems VIMS 2001, pp 61 - 66, 2001
- Duro, R.J., Santos J., Synaptic Delay Based Artificial Neural Networks and Discrete time Backpropagation Applied to QRS Complex Detection, Proceedings ICNN97, pp 2566 - 2570, 1997
- Duro, R.J., Santos J., ECG Beat Classification with Synaptic Delay Based Artificial Neural Networks, Lecture Notes in Computer Science, pp 962 - 970, 1997