Improved fuzzy C-means clustering in the process of exudates detection using mathematical morphology

Author:

Wisaeng Kittipol,Sa-ngiamvibool Worawat

Funder

Mahasarakham University

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Interpretation of Feature Contribution Towards Diagnosis of Diabetic Retinopathy from Exudates in Retinal Images;Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems;2023

2. Recent trends and advances in fundus image analysis: A review;Computers in Biology and Medicine;2022-12

3. CFLHCF: Simultaneous Detection of the Optic Disc and Exudates Using Color Features, Local Homogeneity and Contextual Features;Traitement du Signal;2022-11-30

4. Analysis on Clustering Based Method for Diabetic Retinopathy Using Color Information;Lecture Notes in Electrical Engineering;2022

5. Edge Detection of SAR Images Based on Shearlet;Proceedings of the 7th China High Resolution Earth Observation Conference (CHREOC 2020);2022

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