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Feature Extraction Algorithm for Beef Marbling

F Yoshikawa, K Toraichi, K Wada, N Otsu, H Nakai, M Mitsumoto, K Katagishi, Paul H Kwan

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

4 Citations (Scopus)

Abstract

This paper proposes a feature extraction algorithm for automatically grading a beef marbling. Considering the practical usage of a beef marbling grading support system, the feature extraction algorithm for beef marbling that can precisely identify the distribution of fat particles and the fat contents must be designed to be simple and robust for actual use. From the results of our experiments, the usefulness and appropriateness of using Run Length Histogram Quantized Data (RLHQD) as the feature quantities for the grading of beef marbling has been confirmed.
Original languageEnglish
Title of host publicationProceedings of the 1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)
Place of PublicationLos Alamitos, United States of America
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages209-212
ISBN (Print)0780355830, 0780355822
DOIs
Publication statusPublished - 1999
EventPACRIM 1999: IEEE Pacific Rim Conference on Communications, Computers and Signal Processing - Victoria, Canada
Duration: 22 Aug 199924 Aug 1999

Conference

ConferencePACRIM 1999: IEEE Pacific Rim Conference on Communications, Computers and Signal Processing
CityVictoria, Canada
Period22/08/9924/08/99

Keywords

  • Image Processing
  • Pattern Recognition and Data Mining

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