Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Toward Efficient Embedded Implementations of KNN-based Spatial-Spectral Classification In Hyperspectral Imaging for Cancer Detection
Research Areas
  • Electric engineers, electronic and automatic (eil)
In this paper, a study of the adaptation of a K Nearest Neighbors (KNN) algorithm on a system that integrates a host computer and an accelerator of 256 cores in 16 clusters - a Massively Parallel Processor Array (MPPA) - is presented. The goal of this research line is to exploit the possibilities the MPPA offers to speedup the execution of the KNN algorithm. The functional aim of the KNN algorithm is to filter the probability map provided by a Support Vector Machine (S VM) classifier with (1) the assistance of the spectral information obtained from a Principal Components Analysis (PCA) algorithm and (2) the inherent spatial information of hyperspectral images. The KNN algorithm is a key block of an algorithm employed to discriminate between cancer and normal tissues during neurosurgical procedures. A testbench has been built using hyperspectral medical brain images captured in two operating theaters. As a result, the execution time of the KNN algorithm in the MPPA developer workstation is in the order of the time required for the hyperspectral sensor to capture a new image.
XXXI Design of Circuits and Integrated Systems Conference
Granada, Spain
Start Date
End Date
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Proceedings of the XXXI Design of Circuits and Integrated Systems Conference
  • Autor: Ruben Salvador Perea (UPM)
  • Autor: H. Fabelo (IUMA-ULPGC)
  • Autor: Raquel Lazcano Lopez (UPM)
  • Autor: S. Ortega (IUMA-ULPGC)
  • Autor: Daniel Madroñal Quintin (UPM)
  • Autor: G. M. Callicó (IUMA-ULPGC)
  • Autor: Eduardo Juarez Martinez (UPM)
  • Autor: Cesar Sanz Alvaro (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Diseño Electrónico y Microelectrónico
  • Departamento: Ingeniería Telemática y Electrónica
  • Centro o Instituto I+D+i: Tecnologías del Software y Sistemas Multimedia para la Sostenibilidad (CITSEM)
S2i 2021 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)