Open AccessQuantum-Assisted Retinal Drusen Detection Algorithm using Entropy Based Image Processing Techniques
Author(s) -
L. Jeganson Durai,
J. Vijayakumar
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c5781.029320
Subject(s) - drusen , preprocessor , computer science , artificial intelligence , retinal , image processing , computer vision , algorithm , fundus (uterus) , quantum , entropy (arrow of time) , pattern recognition (psychology) , image (mathematics) , ophthalmology , physics , medicine , quantum mechanics
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.