Ophthalmology Research: An International Journal, ISSN: 2321-7227,Vol.: 2, Issue.: 1 (January-February)
Technique Based on Cuckoo’s Search Algorithm for Exudates Detection in Diabetic Retinopathy
Srishti1* 1Electrical Engineering Department, Deenbandhu Chhotu Ram University of Science and Technology Murthal, Sonepat-131039, India.
1Electrical Engineering Department, Deenbandhu Chhotu Ram University of Science and Technology Murthal, Sonepat-131039, India.
(1) Kota V Ramana, Dept. of Biochemistry & Molecular Biology, University of Texas Medical Branch, 6.644 Basic Science Building, 301 University Blvd., Galveston, TX 77555-0647, USA.
(2) Hiroshi Tomita, Professor, Lab. of Visual Neuroscience, Dept. of Chemistry and Bioengineering, Iwate University, Faculty of Engineering, Graduate School of Engineering, Japan.
Complete Peer review History: http://www.sciencedomain.org/review-history/2467
A new metaheuristic scheme based upon Cuckoo Search algorithm for the exudates detection in diabetic retinopathy using multi-level thresholding is presented in this paper. The proposed method is applied for edge detection and the results obtained by this method were compared with the existing methods. This manuscript describes a new computational approach to detect exudates in fundus images using Cuckoo Search algorithm. Results illustrated by this method have a better accuracy when compared with Otsu’s and Kapur’s method. This study will be of interest to ophthalmology as automated image processing could serve as an objective evaluation of retinal disease condition.
Eggs (Solutions); cuckoo search algorithm (CA); diabetic retinopathy (DR); stationary wavelet transform (SWT); particle swarm optimization (PSO); artificial bee colony (ABC).
Full Article - PDF Page 43-54
DOI : 10.9734/OR/2014/5877Review History Comments