GUI system for enhancing blood vessels segmentation in digital fundus images / Ahmad Zikri Rozlan, Nor Syazwani Mohd Ali and Hadzli Hashim
An automated image processing system has the potential to aid ophthalmologist in diagnosing eye retinopathy diseases by presenting changes of retina features. One of the algorithms involved in the process is blood vessels segmentation. This paper proposes development of a Graphical User Interfa...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2012
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/67104/1/67104.pdf https://ir.uitm.edu.my/id/eprint/67104/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | An automated image processing system has the
potential to aid ophthalmologist in diagnosing eye retinopathy
diseases by presenting changes of retina features. One of the
algorithms involved in the process is blood vessels
segmentation. This paper proposes development of a Graphical
User Interface (GUI) system that produces enhancement of
blood vessels segmentation in digital fundus images. The
system can help ophthalmologist in improving morphological
procedures by observing significant features in the processed
images for early diagnosis. The process of GUI creation is by
using Qt Creator software while blood vessels segmentation
methods utilize Canny and other morphology-based techniques.
The outcome is a better processed image that can be the basis
for further image enhancement so that eventually a diagnostic
tool for diabetic retinopathy can be produced. |
|---|