Optic Disk Segmentation through Edge Density Filter in Retinal Images
Y. Madhu Sudhana Reddy1, R. S. Ernest Ravindran2
1Y. Madhu Sudhana Reddy*, Research Scholar, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
2R. S. Ernest Ravindran, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India
Manuscript received on December 16, 2019. | Revised Manuscript received on December 24, 2019. | Manuscript published on January 10, 2020. | PP: 3168-3176 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8989019320/2020©BEIESP | DOI: 10.35940/ijitee.C8989.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Accurate and Efficient Detection of Optic Disk (OD) is an important task for the diagnosis of various eye related diseases such as Diabetic Retinopathy, Glaucoma, and papilledema in automatic retinal image analysis. This paper presents a novel and robust OD detection framework which starts with the detection of OD pixel, a center of OD region. Next, based on the ODP, a sub-image extraction is accomplished and it is processed for blood vessel removal through morphological technique. Finally, a new filter, called as Edge Density Filter (EDF) is accomplished to find out the extract the OD region in the Blood vessel removed, Edge detected and binarized sub-image. Two publicly available datasets, MESSIDOR and DRIVE were used to evaluate the performance of proposed method and the performance is measured through performance metrics such as Overlap Score, Sensitivity and Accuracy.
Keywords: Retinal Image, Optic Disk, Optic Disk Pixel, Edge Density Filter, MESSIDOR, DRIVE, Sensitivity, Accuracy.
Scope of the Article: Signal and Image Processing