A robust technique based on VLM and Frangi filter for retinal vessel extraction and denoising
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DOI: 10.1371/journal.pone.0192203
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- Lei Wang & Huimao Zhang & Kan He & Yan Chang & Xiaodong Yang, 2015. "Active Contours Driven by Multi-Feature Gaussian Distribution Fitting Energy with Application to Vessel Segmentation," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-18, November.
- Peter Bankhead & C Norman Scholfield & J Graham McGeown & Tim M Curtis, 2012. "Fast Retinal Vessel Detection and Measurement Using Wavelets and Edge Location Refinement," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-12, March.
- Peishan Dai & Hanyuan Luo & Hanwei Sheng & Yali Zhao & Ling Li & Jing Wu & Yuqian Zhao & Kenji Suzuki, 2015. "A New Approach to Segment Both Main and Peripheral Retinal Vessels Based on Gray-Voting and Gaussian Mixture Model," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-22, June.
- Wendeson S Oliveira & Joyce Vitor Teixeira & Tsang Ing Ren & George D C Cavalcanti & Jan Sijbers, 2016. "Unsupervised Retinal Vessel Segmentation Using Combined Filters," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-21, February.
- Khan BahadarKhan & Amir A Khaliq & Muhammad Shahid, 2016. "A Morphological Hessian Based Approach for Retinal Blood Vessels Segmentation and Denoising Using Region Based Otsu Thresholding," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-19, July.
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