Application of hybrid optoelectronic correlator to gabor jet images for rapid object recognition & segmentation

M. S. Monjur, S. Tseng, A. M. Khan, N. M. Rajpoot, M. S. Shahriar*

*Corresponding author for this work

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

Abstract

We propose an image recognition system using a Hybrid Optoelectronic Correlator where the reference and query images are Gabor Jet Images for individual pixels produced by Gabor filtering, for rapid object recognition and segmentation.

Original languageEnglish (US)
Title of host publicationCLEO
Subtitle of host publicationScience and Innovations, CLEO_SI 2013
PagesJTh2A.24
StatePublished - Nov 18 2013
EventCLEO: Science and Innovations, CLEO_SI 2013 - San Jose, CA, United States
Duration: Jun 9 2013Jun 14 2013

Publication series

NameCLEO: Science and Innovations, CLEO_SI 2013

Other

OtherCLEO: Science and Innovations, CLEO_SI 2013
CountryUnited States
CitySan Jose, CA
Period6/9/136/14/13

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

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    Monjur, M. S., Tseng, S., Khan, A. M., Rajpoot, N. M., & Shahriar, M. S. (2013). Application of hybrid optoelectronic correlator to gabor jet images for rapid object recognition & segmentation. In CLEO: Science and Innovations, CLEO_SI 2013 (pp. JTh2A.24). (CLEO: Science and Innovations, CLEO_SI 2013).