AN ALGORITHM TO DETECT THE RETINAL REGION OF INTEREST
Retina is one of the important layers of the eyes, which includes sensitive cells to colour and light and nerve fibers. Retina can be displayed by using some medical devices such as fundus camera, ophthalmoscope. Hence, some lesions like microaneurysm, haemorrhage, exudate with many diseases of th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-11-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W6/95/2017/isprs-archives-XLII-4-W6-95-2017.pdf |
| Summary: | Retina is one of the important layers of the eyes, which includes sensitive cells to colour and light and nerve fibers. Retina can be
displayed by using some medical devices such as fundus camera, ophthalmoscope. Hence, some lesions like microaneurysm,
haemorrhage, exudate with many diseases of the eye can be detected by looking at the images taken by devices. In computer vision
and biomedical areas, studies to detect lesions of the eyes automatically have been done for a long time. In order to make automated
detections, the concept of ROI may be utilized. ROI which stands for region of interest generally serves the purpose of focusing on
particular targets. The main concentration of this paper is the algorithm to automatically detect retinal region of interest belonging to
different retinal images on a software application. The algorithm consists of three stages such as pre-processing stage, detecting ROI
on processed images and overlapping between input image and obtained ROI of the image. |
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| ISSN: | 1682-1750 2194-9034 |