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
Year:2016
Research Areas
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
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.
International
Si
Congress
XXXI Design of Circuits and Integrated Systems Conference
960
Place
Granada, Spain
Reviewers
Si
ISBN/ISSN
978-1-5090-4565-5
Start Date
23/11/2016
End Date
25/11/2016
From page
1
To page
5
Proceedings of the XXXI Design of Circuits and Integrated Systems Conference
Participants
  • 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)
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