On analyzing various density functions of local binary patterns for optic disc segmentation

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

6 Citations (Scopus)

Abstract

In building an automated glaucoma detection system, optic disc segmentation is the first step that needs to be implemented follows by optic cup segmentation in order to quatify the severity level of glaucoma. Glaucoma is an ocular eye disease that can lead to gradual vision loss and permanent blindness if it is not treated in the early stage. Many glaucoma patients are unaware of their disease since they rarely encounter any symptom that can lead to glaucoma. Thus, detecting glaucoma during the early stage is very important to reduce the treatment risk. This paper proposes optic disc segmentation by using local binary patterns operator (LBP), a feature for textural classification in image processing. LBP is utilized only on red channel of RGB fundus image because of higher contrast between optic disc and its surrounding area compared to the blue and green channels. Smoothing technique, specifically, histogram equalization is performed to improve the quality of input image before LBP method is applied. Lastly, morphological operation and filtering are applied to filter out the artifacts and remove the noise from the segmented image. RIM-One database is used to validate the simulation results with Exponential distribution achive better performance with average accuracy and precision of 0.8951 and 0.7390 respectively.

Original languageEnglish
Title of host publicationISCAIE 2015 - 2015 IEEE Symposium on Computer Applications and Industrial Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages37-41
Number of pages5
ISBN (Print)9781479989690
DOIs
Publication statusPublished - 13 Oct 2015
EventIEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2015 - Langkawi, Malaysia
Duration: 12 Apr 201514 Apr 2015

Other

OtherIEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2015
CountryMalaysia
CityLangkawi
Period12/4/1514/4/15

Fingerprint

Probability density function
Optics
Reaction injection molding
Image processing

Keywords

  • Glaucoma
  • Local binary patterns
  • Optic disc segmentation
  • Textural classification

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Mohamed, N. A., Zulkifley, M. A., & Hussain, A. (2015). On analyzing various density functions of local binary patterns for optic disc segmentation. In ISCAIE 2015 - 2015 IEEE Symposium on Computer Applications and Industrial Electronics (pp. 37-41). [7298324] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAIE.2015.7298324

On analyzing various density functions of local binary patterns for optic disc segmentation. / Mohamed, Nur Ayuni; Zulkifley, Mohd Asyraf; Hussain, Aini.

ISCAIE 2015 - 2015 IEEE Symposium on Computer Applications and Industrial Electronics. Institute of Electrical and Electronics Engineers Inc., 2015. p. 37-41 7298324.

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

Mohamed, NA, Zulkifley, MA & Hussain, A 2015, On analyzing various density functions of local binary patterns for optic disc segmentation. in ISCAIE 2015 - 2015 IEEE Symposium on Computer Applications and Industrial Electronics., 7298324, Institute of Electrical and Electronics Engineers Inc., pp. 37-41, IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2015, Langkawi, Malaysia, 12/4/15. https://doi.org/10.1109/ISCAIE.2015.7298324
Mohamed NA, Zulkifley MA, Hussain A. On analyzing various density functions of local binary patterns for optic disc segmentation. In ISCAIE 2015 - 2015 IEEE Symposium on Computer Applications and Industrial Electronics. Institute of Electrical and Electronics Engineers Inc. 2015. p. 37-41. 7298324 https://doi.org/10.1109/ISCAIE.2015.7298324
Mohamed, Nur Ayuni ; Zulkifley, Mohd Asyraf ; Hussain, Aini. / On analyzing various density functions of local binary patterns for optic disc segmentation. ISCAIE 2015 - 2015 IEEE Symposium on Computer Applications and Industrial Electronics. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 37-41
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