Görüntü bölütleme ve görüntü benzetimi yöntemleri yardimi ile hastaliǧin teşhis ve tedavi sonrasi süreçlerinin desteklenmesi: Keratokonus örneǧi

Translated title of the contribution: Supporting the diagnosis process and processes after treatment by using image segmentation and image simulation techniques: Keratoconus example

Hilal Kaya, Abdullah Çavuşoǧlu, Hasan Basri Çakmak, Baha Şen, Dursun Delen

Research output: Contribution to journalArticle

6 Scopus citations


A supporting application for field experts on diagnosing Keratoconus disease and monitoring the healing stage after treatment by a unified system of image segmentation and image simulation processes of corneal images was developed. For execution of this study, actual 545 two-dimensional corneal images were used. Before 3-D imaging process, affected corneal areas were segmented by using Global Thresholding and Watershed image segmentation methods. The original images and the segmented images were displayed in three-dimensional forms and compared with each other by the help of the developed system. The study aims to retrieve depth information from the recorded images by Scheimpflug camera and Placido disc combination with normalized Diamond-Square method and monitoring the treatment process effectively. This study shows that displaying the disease and the healing process can be improved by using 3-D imaging methods. Also it's forseen that this study will be an important step for future studies on corneal imaging.

Original languageTurkish
Pages (from-to)737-747
Number of pages11
JournalJournal of the Faculty of Engineering and Architecture of Gazi University
Issue number3
Publication statusPublished - 1 Jan 2016
Externally publishedYes



  • 3-D imaging
  • Image segmentation
  • Keratoconus

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