Segmentation of Exudates Based on High Pass Filtering in Retinal Fundus Images
Penulis/Author
Prof. Ir. Hanung Adi Nugroho, S.T., M.Eng., Ph.D., IPM., SMIEEE. (1); WIDHIA OKTOEBERZA KZ (2); Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D (3); Prof. dr. Muhammad Bayu Sasongko, M.Epi, Ph.D., Sp.M (4)
Tanggal/Date
2015
Kata Kunci/Keyword
Abstrak/Abstract
The World Diabetes Foundation has predicted that
more than 439 million people in 2030 will suffer from diabetes.
Long-term diabetics can lead to the damage of retinal blood
vessels, known as diabetic retinopathy, the leading cause of
blindness in developing countries. One of the clinical features of
diabetic retinopathy is exudate. Exudates have similar
characteristic with optic disc. Therefore, in this research work,
removal of optic disc is conducted to reduce false positive of
exudates detection. The optic disc detection is done by finding
the small area of the optic disc which is enlarged to obtain its
total area. Green channel that contains useful information for
exudates detection is filtered based on high pass filter.
Afterwards, segmentation of exudates is conducted by using
thresholding and morphological operations. Final result of
exudates is validated with ground truth images by measuring
accuracy, sensitivity and specificity. The results show that
proposed approach for exudates detection achieves accuracy,
sensitivity and specificity of 99.99%, 90.15% and 99.99%,
respectively. This result indicates that the proposed method
successfully detects exudates and is useful to assist the
ophthalmologists in analysing retinal fundus image especially for
exudates detection to diagnose diabetic retinopathy.
