Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Imanol Echave"'
Autor:
Juan I. López-Moreno, Rafael Baena-Calatrava, Sergio M. Vicente-Serrano, Cesar Azorin-Molina, Bernadette H. Connell, Imanol Echave-Calvo
Publikováno v:
International Journal of Climatology. 33:2113-2128
This study was supported by a JAE-DOC043 grant from the Spanish Research Council (CSIC) and the projects CGL2011-27536 and CGL2011-27574-C02-02 financed by the Spanish Commission of Science and Technology and FEDER. The authors thank the CREPAD proj
Autor:
Manuel Graña, Manuel Cortijo, Javier Regadera, Ignacio R. Rodriguez, Domingo Gargallo, Inmaculada Santos, Imanol Echave, Jesús Ruiz-Cabello, Carmen Santisteban, Pablo Avilés, Rigoberto Pérez de Alejo
Publikováno v:
NMR in Biomedicine. 15:204-214
We have studied an animal model of acute local inflammation in muscle induced by Aspergillus fumigatus by using magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS). We have compared our data to those found using histopathology
Publikováno v:
6th International Conference on Signal Processing, 2002..
We propose and test an hybrid procedure for the segmentation of infected tissues in MRI. The unsupervised step is the VQ-BF filtering of the MR volumes. It provides a robust preprocessing of the images, identifying basic texture elements regardless o
Autor:
Pablo Avilés, Juan Arrazola, Rigoberto Pérez de Alejo, Domingo Gargallo, Manuel Graña, Manuel Cortijo, Ignacio R. Rodriguez, Javier Regadera, Imanol Echave, Pilar Barreiro, Jesús Ruiz-Cabello
Publikováno v:
Magnetic Resonance Imaging, ISSN 0730-725X, 2003-10, Vol. 21, No. 8
Archivo Digital UPM
Universidad Politécnica de Madrid
Archivo Digital UPM
Universidad Politécnica de Madrid
An accurate computer-assisted method able to perform regional segmentation on 3D single modality images and measure its volume is designed using a mixture of unsupervised and supervised artificial neural networks. Firstly, an unsupervised artificial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::339cf086792746f4412527fa7f7a41a5
https://oa.upm.es/6138/
https://oa.upm.es/6138/
Autor:
Jesús, Ruiz-Cabello, Javier, Regadera, Carmen, Santisteban, Manuel, Graña, Rigoberto, Pérez de Alejo, Imanol, Echave, Pablo, Avilés, Ignacio, Rodriguez, Inmaculada, Santos, Domingo, Gargallo, Manuel, Cortijo
Publikováno v:
NMR in biomedicine. 15(3)
We have studied an animal model of acute local inflammation in muscle induced by Aspergillus fumigatus by using magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS). We have compared our data to those found using histopathology
Publikováno v:
IJCNN (6)
Scopus-Elsevier
Scopus-Elsevier
To increase the robustness of visual processing in the context of mobile robotics, we introduce an image filtering process based on the codebooks computed by the SOM. The Self Organizing Map and the Simple Competitive Learning are used to compute ada
Publikováno v:
ICIP
In this paper we propose the application of vector quantizers computed over an image for its own filtering. Each pixel processing is conditioned to its neighborhood and the neighborhood's closest code vector. The code vectors play the role of conditi
Autor:
Manuel Grana Romay, Imanol Echave
Publikováno v:
SPIE Proceedings.
In this paper we prose the application of the codebook computed by the Self Organizing Map as a smoothing filter, the QV Bayesian Filter, for the preprocessing of the image sequences. The optical flow is then robustly and efficiently computed over th
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540660682
IWANN (2)
IWANN (2)
Vector Quantization (VQ) is a well known technique for signal compression and codification. In this paper we propose the filtering of images based on the codebooks obtained from Vector Quantization design algorithms under a Bayesian framework. The Ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::919f86ac792825dddd6e2eec0a4efcf9
https://doi.org/10.1007/bfb0100501
https://doi.org/10.1007/bfb0100501
Publikováno v:
SPIE Proceedings.
The purpose of our works is to provide fast and reliable face localization techniques in real time an in real-life scenes. Person localization is included in this problem. The end application sought is the ability of mobile robots to navigate in huma