International Journal For Multidisciplinary Research

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Segmentation of Drusen in Retinal Images for the Detection of Diabetic Retinopathy

Author(s) S. Parvathi
Country India
Abstract Diabetic retinopathy (DR) is a most complicated eye disease that affects people with diabetes for an extended period. If necessary treatment is not given at the right time, DR leads to a severe loss of vision without prior symptoms. Therefore, patients with diabetes are recommended to undergo continuous screening for early detection of DR. In this paper, we proposed an automated detection process to detect the lesion called Drusen in retinal images. Drusen is not related to DR. The presence of Drusen does not indicate the disease DR. Still, it is used to identify the severity level of diabetes for the patient and to avoid the misdetection rate with other bright lesions (both exudates and cotton wool spots). This method is based on the Background image approach and inverse segmentation to detect the area affected by Drusen in retinal images. Inverse segmentation is used to segment the healthy areas based on regular texture rather than varying the texture of unhealthy areas. The segmented healthy areas are compared with the original image for segmenting Drusen. The segmentation process involved 40 images from the STARE database, producing better results based on accuracy and processing time.
Keywords Automatic screening of retinal images, background image approach, Inverse segmentation, Region growing methods
Field Engineering
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-03-09
Cite This Segmentation of Drusen in Retinal Images for the Detection of Diabetic Retinopathy - S. Parvathi - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.14745
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.14745
Short DOI https://doi.org/gtmbfk
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E-ISSN 2582-2160
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