Nonlinear filter for pattern recognition using the scale transform

Angel Coronel-Beltrán*, Josué Álvarez-Borrego

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

An invariant correlation digital system using a nonlinear filter is presented. The invariance to position, rotation and scale of the target is achieved via Fourier transform, mapping polar and Scale transform, respectively. We analyzed the performance of this filter with different nonlinearities k values according to the peak-to-correlation energy (PCE) metric. We found experimentally the best k value for rotation and scale and the confidence levels of the filters. The filter was applied to the complete alphabet letters where each letter is a problem image of 256x256 pixels in size. The results are presented and show a better performance when they are compared with linear filters.

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XXXI
PublisherSPIE
ISBN (Print)9780819472939
DOIs
StatePublished - 2008
EventApplications of Digital Image Processing XXXI - San Diego, CA, United States
Duration: 11 Aug 200814 Aug 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7073
ISSN (Print)0277-786X

Conference

ConferenceApplications of Digital Image Processing XXXI
Country/TerritoryUnited States
CitySan Diego, CA
Period11/08/0814/08/08

Keywords

  • Invariant correlation
  • Nonlinear filter
  • Scale transform

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