Automated haversian canal detection for histological sex determination

Hadi Abdullah, Muhammad Mahadi Abdul Jamil, Faridah Mohd. Nor

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

Abstract

Human bones can provide vital information about the person it belonged to, using different analytical methods. Histomorphological method can use only fragments of bone to estimate age and sex. Different researches have been conducted using these methods in which researchers have selected microstructural parameters according to their requirement. This paper presents automated haversian canal detection from bone sample image. This detection is part of a developing system for automated sex determination system. This sex determination system can identify sex from human bone sample by using microstructural image processing. The system is divided into two parts. In first part bone samples are selected, manually analyzed and differences in microstructural parameters in males and females are observed. While in second part these observations are used to design computer aided automation system. Lastly this paper concludes system while giving its importance in multiple aspects.

Original languageEnglish
Title of host publicationISCAIE 2017 - 2017 IEEE Symposium on Computer Applications and Industrial Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages69-74
Number of pages6
ISBN (Electronic)9781509047529
DOIs
Publication statusPublished - 18 Oct 2017
Event2017 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2017 - Langkawi Island, Malaysia
Duration: 24 Apr 201725 Apr 2017

Other

Other2017 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2017
CountryMalaysia
CityLangkawi Island
Period24/4/1725/4/17

Fingerprint

canals
Canals
bones
Bone
computer aided design
automation
image processing
Computer aided design
Image processing
Automation
fragments
requirements
estimates

Keywords

  • Haversian canal
  • Image processing
  • Microscope
  • Microstructural parameters
  • Osteon

ASJC Scopus subject areas

  • Instrumentation
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this

Abdullah, H., Jamil, M. M. A., & Mohd. Nor, F. (2017). Automated haversian canal detection for histological sex determination. In ISCAIE 2017 - 2017 IEEE Symposium on Computer Applications and Industrial Electronics (pp. 69-74). [8074952] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAIE.2017.8074952

Automated haversian canal detection for histological sex determination. / Abdullah, Hadi; Jamil, Muhammad Mahadi Abdul; Mohd. Nor, Faridah.

ISCAIE 2017 - 2017 IEEE Symposium on Computer Applications and Industrial Electronics. Institute of Electrical and Electronics Engineers Inc., 2017. p. 69-74 8074952.

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

Abdullah, H, Jamil, MMA & Mohd. Nor, F 2017, Automated haversian canal detection for histological sex determination. in ISCAIE 2017 - 2017 IEEE Symposium on Computer Applications and Industrial Electronics., 8074952, Institute of Electrical and Electronics Engineers Inc., pp. 69-74, 2017 IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2017, Langkawi Island, Malaysia, 24/4/17. https://doi.org/10.1109/ISCAIE.2017.8074952
Abdullah H, Jamil MMA, Mohd. Nor F. Automated haversian canal detection for histological sex determination. In ISCAIE 2017 - 2017 IEEE Symposium on Computer Applications and Industrial Electronics. Institute of Electrical and Electronics Engineers Inc. 2017. p. 69-74. 8074952 https://doi.org/10.1109/ISCAIE.2017.8074952
Abdullah, Hadi ; Jamil, Muhammad Mahadi Abdul ; Mohd. Nor, Faridah. / Automated haversian canal detection for histological sex determination. ISCAIE 2017 - 2017 IEEE Symposium on Computer Applications and Industrial Electronics. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 69-74
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