Detection of hard exudates using 2D Otsu algorithm in digital retinal fundus image

Author:

Kayal Diptoneel,Banerjee Sreeparna

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Reference26 articles.

1. Wild S, Rojlic G, Green A, Sicree R, King H (2004) Global prevalance of diabetes estimates for the year 2000 and projections for 2030. Am Diabetes Assoc 27(5):1047–1053

2. Luangraangrong W, Kulkasem P, Rasmequen S, Rodtook A, Chinnasarn K (2014) Automatic exudates detection in retinal images using efficient integrated approach. In: 2014 IEEE annual summit and conference of Asia pacific signal and information processing association

3. Shami F, Seyedarabi H, Aghagolzadeh A (2014) Better detection of retinal abnormalities by accurate detection of blood vessels in retina. In: 22nd IEEE Iranian conference on electrical engineering, Iran

4. Siddalingaswamy PC, Prabhu KG (2010) Automatic grading of diabetic retinopathy severity levels. In: 2010 IEEE international conference on systems in medicine and biology, Kharagpur, India

5. Ravivarma P, Balasubramaniam B, Arunmani G, Babumohan B (2014) An efficient system for the detection of exudates in color fundus image using image processing techniques. In: 2014 IEEE international conference on advanced communication control and computing technologies, 2014

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1. Fast and accurate mobile-aided screening system of moderate diabetic retinopathy;Thirteenth International Conference on Machine Vision;2021-01-04

2. Detection and classification of hard exudates in retinal images;Journal of Intelligent & Fuzzy Systems;2020-02-06

3. Multi-scale characteristics of remote sensing lineaments;Earth Science Informatics;2019-12-14

4. A Novel Approach for Detection of Hard Exudates Using Random Forest Classifier;Journal of Medical Systems;2019-05-15

5. Exudates detection in fundus images using mean-shift segmentation and adaptive thresholding;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2018-04-23

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