Paper Info
Title
A novel method for segmentation of Infrared Scanning Laser Ophthalmoscope (IR-SLO) images of retina
Abstract
Retinal vessel segmentation forms an essential element of automatic retinal disease screening systems. The development of multimodal imaging system with IR-SLO and OCT could help in studying the early stages of retinal disease. The advantages of IR-SLO to examine the alterations in the structure of retina and direct correlation with OCT can be useful for assessment of various diseases. This paper presents an automatic method for segmentation of IR-SLO fundus images based on the combination of morphological filters and image enhancement techniques. As a first step, the retinal vessels are contrasted using morphological filters followed by background exclusion using Contrast Limited Adaptive Histogram Equalization (CLAHE) and Bilateral filtering. The final segmentation is obtained by using Isodata technique. Our approach was tested on a set of 26 IR-SLO images and results were compared to two set of gold standard images. The performance of the proposed method was evaluated in terms of sensitivity, specificity and accuracy. The system has an average accuracy of 0.90 for both the sets.
Year
DOI
Venue
2017
10.1109/EMBC.2017.8036836
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Keywords
Field
DocType
Fundus Oculi,Image Enhancement,Ophthalmoscopes,Retina,Retinal Vessels
Computer vision,Optical coherence tomography,Segmentation,Retina,Computer science,Fundus (eye),Adaptive histogram equalization,Multispectral pattern recognition,Artificial intelligence,Retinal,Bilateral filter
Conference
Volume
ISSN
ISBN
2017
1557-170X
978-1-5090-2810-8
Citations 
PageRank 
References 
0
0.34
1
Authors
3
Name
Order
Citations
PageRank
Aqsa Ajaz100.68
Behzad Aliahmad283.51
Dinesh Kant Kumar316828.34