Quantum-Assisted Retinal Drusen Detection Algorithm using Entropy-Based Image Processing Techniques
L. Jeganson Durai1, J. Vijayakumar2
1L. Jeganson Durai*, Department of Electronics and Instrumentation, Bharathiar University, Coimbatore, India.
2J. Vijayakumar, Department of Electronics and Instrumentation, Bharathiar University, Coimbatore, India.
Manuscript received on January 26, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 2251-2256 | Volume-9 Issue-3, February 2020. | Retrieval Number: C5781029320/2020©BEIESP | DOI: 10.35940/ijeat.C5781.029320
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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: Drusen identification is the fundamental operation in the automated diagnosis of eye diseases. Manual and automatic detection of the drusen in the retinal fundus images has been developed recently in the classical manner only. This work provides the quantum-based retinal drusen detection method using entropy-based image processing techniques. This algorithm is the composite system of two channels, classical and quantum channels for the preprocessing and drusen detection respectively. This research work has been evaluated with the databases of DRIVE, STARE, MESSIDOR, E-Optha-Ex and ONH-Hunter. This quantum-based approach will be analyzed with the results of the existing classical methods and proves its efficiency from the calculations of sensitivity, specificity, accuracy and execution time.
Keywords: Drusen, Quantum Information Processing, Entropy-based image processing.