Abstract
Diabetic retinopathy is a vascular complication of long-term diabetes. It causes damage to the small blood vessels positioned in the retina. These damaged blood vessels affect the macula and lead to vision loss. Exudates are one of the early signs of diabetic retinopathy disease in the retinal image, which occurs due to built-up of lipidic accumulation within the retina. In this paper, an image processing method is presented for diabetic exudates detection. First, high performance pre-processing is applied not only for de-noising and normalization but also to remove artefacts and reflection that could mislead exudates detection. Then, morphological operations are applied for the final candidate segmentation. Eight region features are extracted from the exudate region then random forest classifier is applied to differentiate between exudates and non-exudates region. The proposed method is evaluated using e_ophtha_EX dataset, achieving 80% sensitivity and 77% positive predicted value.
Highlights
The retina is a spherical anatomical structure on the inner side of the eye
The purpose of this paper is to effectively present image processing method for detecting diabetic retinal exudates using color fundus image in a clinical context
The four common measurements used to estimate the validation of segmentation methods of the retinal images are True positive (TP) which represent the value that is predicted as positive, and it’s actual value is INTERNATIONAL JOURNAL OF COMPUTER AND TECHNOLOGY Vol 19 (2019) ISSN: 2277-3061 https://rajpub.com/index.php/ijct positive, True negative (TN) which represent the value that is predicted as negative and it’s actual value is negative, False negative (FN) which represent the value that is predicted as negative and it’s actual value is positive, false positive(FP) which represent the value that is predicted as positive, but it’s actual value is negative
Summary
The retina is a spherical anatomical structure on the inner side of the eye. It is responsible for receiving the light that is focusing by the lens and converts the light into signal this signal is sent back to the brain. The special structure of the retina restricts the possible appearances of distortions due to different diseases. The most frequent lesions appear in the retinal image as patches of blood or fat. Diseases affecting the blood vessel system cause similar vascular distortions here than in any area of the body but are easier and better seen if examined by an experienced professional [1]
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