Neural networks: A method of thermal image data processing

Shahram Hejazi, Robert A. Spangler, Stephen M. Bauer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In order to obtain a more stable and more error-tolerant method of data reduction, a neural network algorithm has been developed to process thermal images of the human body. The basis backpropagation network consists of three layers of neuron units. The minimum network consists of an input layer, a hidden layer and an output layer. Each unit in the input layer has a feedforward connection to each of the hidden layer units. Similarly, each of the hidden layer units has a feedforward connection to each of the output layer units. Trained on a computed ideal dataset, this algorithm has been shown to more reliably process actual image data.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages1464-1465
Number of pages2
Editionpt 3
ISBN (Print)0780302168
StatePublished - Dec 1 1991
EventProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, FL, USA
Duration: Oct 31 1991Nov 3 1991

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 3
Volume13
ISSN (Print)0589-1019

Other

OtherProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityOrlando, FL, USA
Period10/31/9111/3/91

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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  • Cite this

    Hejazi, S., Spangler, R. A., & Bauer, S. M. (1991). Neural networks: A method of thermal image data processing. In Proceedings of the Annual Conference on Engineering in Medicine and Biology (pt 3 ed., pp. 1464-1465). (Proceedings of the Annual Conference on Engineering in Medicine and Biology; Vol. 13, No. pt 3). Publ by IEEE.