Coarse to fine difference edge detection with binary neural firing model

Anuar Dorzhigulov, Yerlan Berdaliyev, Alex Pappachen James

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

Abstract

In this paper, we propose an analog circuit for binary neural firing model that can extract various image features. Both computational and hardware models were designed for feature extraction algorithm that explores the dependency of firing rates on the pixel intensity in alignment with inhibition and excitation principles. The circuit for translating each pixel intensity into a series of pulses is implemented using a well timed circuit consisting of a series of difference circuits, comparators for thresholding, memory circuits and resistive networks for averaging. The circuit can be configured to select a required number of inhibition and excitation pixels, and can be used to generate a range of filtered signals from different sized filter windows. The difference between the features from different sized filter windows are used to extract the fine to coarse features from the images reflected as image edges, background features, and object textures.

Original languageEnglish
Title of host publication2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1098-1102
Number of pages5
Volume2017-January
ISBN (Electronic)9781509063673
DOIs
Publication statusPublished - Nov 30 2017
Externally publishedYes
Event2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 - Manipal, Mangalore, India
Duration: Sep 13 2017Sep 16 2017

Conference

Conference2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
CountryIndia
CityManipal, Mangalore
Period9/13/179/16/17

Fingerprint

Edge detection
Networks (circuits)
Pixels
Comparator circuits
Analog circuits
Feature extraction
Textures
Hardware
Data storage equipment

Keywords

  • Edge detection
  • Image filters
  • LGN
  • Neural circuits

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

Cite this

Dorzhigulov, A., Berdaliyev, Y., & James, A. P. (2017). Coarse to fine difference edge detection with binary neural firing model. In 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 (Vol. 2017-January, pp. 1098-1102). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACCI.2017.8125988

Coarse to fine difference edge detection with binary neural firing model. / Dorzhigulov, Anuar; Berdaliyev, Yerlan; James, Alex Pappachen.

2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 1098-1102.

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

Dorzhigulov, A, Berdaliyev, Y & James, AP 2017, Coarse to fine difference edge detection with binary neural firing model. in 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1098-1102, 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, Manipal, Mangalore, India, 9/13/17. https://doi.org/10.1109/ICACCI.2017.8125988
Dorzhigulov A, Berdaliyev Y, James AP. Coarse to fine difference edge detection with binary neural firing model. In 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1098-1102 https://doi.org/10.1109/ICACCI.2017.8125988
Dorzhigulov, Anuar ; Berdaliyev, Yerlan ; James, Alex Pappachen. / Coarse to fine difference edge detection with binary neural firing model. 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1098-1102
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