Mobile screening framework of anterior segment photographed images

N. Syahira M. Zamani, Laily Azyan Ramlan, Wan Mimi Diyana Wan Zaki, Aini Hussain, Haliza Abdul Mutalib

Research output: Contribution to journalArticle

Abstract

This work presents a qualitative measurement of anterior segment photographed images (ASPIs) to identify between normal eyes and eyes with pterygium and pinguecula through Otsu multi-thresholding approach without contrast enhancement. In addition, we also propose a mobile screening framework of ASPIs through smartphones. ASPIs were directly sent to the cloud storage once an ASPI was captured using a smartphone camera, and then each image was processed through a digital image processing approach in a processing platform. Three important steps, namely, pre-processing, image segmentation and qualitative assessment, are involved in the processing platform of the mobile screening framework. The ASPIs are pre-processed to minimise or eliminate any unwanted areas within the image. Then, these ASPIs are segmented through multi-thresholding Otsu approach with clustering number n = 3. Segmentation result shows that the accuracy of the proposed method is 87.5%, which is comparable with the previously established work that has applied three-step differencing (3SD) method. However, the proposed approach has better computational time which is six times faster than the 3SD method. These results demonstrate a remarkable effort to produce a simple but straightforward digital image processing approach to be implemented in cloud computing for future studies.

Original languageEnglish
Pages (from-to)85-89
Number of pages5
JournalInternational Journal of Engineering and Technology(UAE)
Volume7
Issue number4
DOIs
Publication statusPublished - 1 Jan 2018

Fingerprint

Smartphones
Screening
Image processing
Pinguecula
Cloud computing
Processing
Image segmentation
Pterygium
Cameras
Cluster Analysis
Cloud Computing
Smartphone

Keywords

  • ASPI
  • Computational time
  • Mobile screening system
  • Otsu multi-thresholding approach
  • Pterygium

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science (miscellaneous)
  • Environmental Engineering
  • Chemical Engineering(all)
  • Engineering(all)
  • Hardware and Architecture

Cite this

Mobile screening framework of anterior segment photographed images. / Zamani, N. Syahira M.; Ramlan, Laily Azyan; Wan Zaki, Wan Mimi Diyana; Hussain, Aini; Abdul Mutalib, Haliza.

In: International Journal of Engineering and Technology(UAE), Vol. 7, No. 4, 01.01.2018, p. 85-89.

Research output: Contribution to journalArticle

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