Extraction of Blood Vessels from Retinal Fundus Images using Maximum Principal Curvatures and Adaptive Histogram Equalization

Author:

Yugander P.1,Abhishek K.1,Reddy P. Sangeeth1,Manideep G.1,Sahithi T.1,Jagannath M.2

Affiliation:

1. KITS,Department of ECE,Warangal,TS,India

2. School of Electronics Engineering, Vellore Institute of Technology,Chennai,TN,India

Publisher

IEEE

Cited by 5 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. Impact of Novel Pre-Processing Techniques on Retinal Images;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15

2. KOA-CCTNet: An Enhanced Knee Osteoarthritis Grade Assessment Framework Using Modified Compact Convolutional Transformer Model;IEEE Access;2024

3. Infrared Image Enhancement Using Contrast Limited Adaptive Histogram Equalization and Denoising Convolution Neural Network;2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART);2023-12-22

4. Blood Vessel Detection in Fundus Images Using Symbolic Approach;2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA);2023-11-22

5. Automated Computationally Intelligent Methods for Ocular Vessel Segmentation and Disease Detection: A Review;Archives of Computational Methods in Engineering;2023-09-21

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