Deteksi Microaneurysms Pada Citra Retina Mata Menggunakan Matched Filter

Muhammad Santoso, Tutuk Indriyani, Ricky Eka Putra

Abstract

Diabetic retinopathy is one of diabetes mellitus on eyes which causes permanent blindness. Microaneurysm becomes its sympthom which is signed by a spot with dark red in circle shape. A detection system on microaneurysms is designed to help medical experts. This research employed matched filter method to detect microaneurysms. Matched filter refers to one of matching template techniques. Microaneurysms have intencity profile in Gaussian, therefore a Gaussian matched filter can be used for detecting them. The searching on the sensitivity, specificity, and accuracy was calculated by ROC (Receiver Operating Characteristics). The research results obtained from 30 retina images of DIAETDB1 showed the average levels of sensitivity 64.53%, specificity 99.94%, and accuracy 99.90%.

Keywords: Diabetic Retinopathy, Microaneurysm, Matched Filter, Gaussian Matched Filter, ROC, DIARETDB1.

Full Text:

PDF

References

Cree, J.M. Streeter, L. (2003). Microaneurysm Detection in Colour Fundus Images. Dept. Physics and Electonic Engineering. University of Waikato. Hamilton. New Zealand.

Gonzalez, Ana Guadalupe Salazar. (2011). Structure Analysis And Lesion Detection From Retinal Fundus Images. Tesis. Brunei Univesity.

Gazali Wikaria, Soeparno Haryono, Ohliati Jenny. (2012). Penerapan Metode Konvolusi Dalam Pengolahan Citra Digital. Jurnal. Universitas Binus. Jakarta Barat

J. H. Hipwell, F. Strachan, J. A. Olson, K. C. McHardy, P. F. Sharp and J. V.

Forrester. (2000). “Automated detection of microaneurysms in digital red-free photographs: A diabetic retinopathy screening toolâ€, Diabet. Med., 17, 588-594.

Jain, A.K. (1989). Fundamentals of Digital Image Processing. New Jersey: Prentice Hall.

Lailyana, E. (2009). Segmentasi Paru-paru pada citra X-ray menggunakan Level Set. Tesis. Jurusan Teknik Elektro Fakultas Teknologi Industri Institut Teknologi Sepuluh Nopember, Surabaya.

Luca Giancardo, Fabrice Meriaudeau, Thomas P.Karnowski, Kenneth

W.Tobin, Yaqin Li and Edward Chaum, M.D. (2010). Microaneurysms Detection With The Radon Cliff Operator In Retinal Fundus Images. Journal.

Putra, D. & Wiskara. (2010). Sistem identifikasi mikroneurisma pada citra retina digital. Teknologi Elektro 9(2): 159-164.

Prakash J. Sumathi K. (2013). Detection and Classification of Microaneurysms for Diabetic Retinopathy. Dept. of Embedded system technologies, Sri Sairam Engineering college, Chennai, India.

Sharma, D.P. (2013). Intensity Transformation using Contrast Limited Adaptive Histogram Equalization. International Journal of Engineering Research 2(4) : 282:285.

Setiawan, Wahyudi. (2012). Sistem Deteksi Retinopati Diabetik Menggunakan Support Vector Machine. Tesis. Universitas Diponegoro. Semarang.

Singh, R.P., Dixit, M. (2015). International Journal of Signal Processing, Image Processing and Pattern Recognition 8(8) : 345-352.

Refbacks

  • There are currently no refbacks.