Dental classification for periapical radiograph based on multiple fuzzy attribute

Martin L. Tangel, Chastine Fatichah, Fei Yan, Janet P. Betancourt, Muhammad Rahmat Widyanto, Fangyan Dong, Kaoru Hirota

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

7 Citations (Scopus)

Abstract

Dental classification for periapical radiograph based on multiple fuzzy attribute is proposed, where each tooth is analyzed based on multiple criteria such as area/perimeter ratio and width/height ratio. A classification method on special type of dental image called periapical radiograph is studied and classification is done without speculative classification (in case of ambiguous object), therefore an accurate and assistive result can be obtained due to its capability to handle ambiguous tooth. Experiment results on 78 periapical dental radiographs from University of Indonesia indicates 82.51% total classification accuracy and 84.29% average classification rate per input radiograph. The proposed classification method is planned to be implemented as a submodule for an under developing dental based personal identification system.

Original languageEnglish
Title of host publicationProceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
Pages304-309
Number of pages6
DOIs
Publication statusPublished - 31 Oct 2013
Event9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 - Edmonton, AB, Canada
Duration: 24 Jun 201328 Jun 2013

Publication series

NameProceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013

Conference

Conference9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
Country/TerritoryCanada
CityEdmonton, AB
Period24/06/1328/06/13

Keywords

  • dental classification
  • feature extraction
  • fuzzy inference
  • integral projection
  • personal identification

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