Blood vessel segmentation in retinal fundus images using Gabor filters, fractional derivatives, and expectation maximization

DOI10.1016/J.AMC.2018.07.057zbMath1428.94017OpenAlexW2886433032WikidataQ129358669 ScholiaQ129358669MaRDI QIDQ2007565

Ivan Cruz-Aceves, Juan Gabriel Avina-Cervantes, José Ruiz-Pinales, Hugo Aguirre-Ramos, Sergio Ledesma

Publication date: 22 November 2019

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2018.07.057

zbMATH Keywords

fractional derivativessegmentationGabor filterradius filterretinal fundus images

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

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• Anomalous diffusion modeling by fractal and fractional derivatives
• Computation of fractional derivatives using Fourier transform and digital FIR differentiator.
• A review of definitions for fractional derivatives and integral
• A closed form expression for the Gaussian-based Caputo-Fabrizio fractional derivative for signal processing applications
• Local fractional derivatives of differentiable functions are integer-order derivatives or zero
• A new image thresholding method based on Gaussian mixture model
• Theory and Use of the EM Algorithm

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