Exudates and Blood Vessel Segmentation in Eye Fundus Images using the Fourier and Cosine Discrete Transforms

Authors

  • Luis David Lara Rodríguez "Instituto Nacional de Astrofisica, Optica y Electronica"
  • Gonzalo Urcid Serrano "Instituto Nacional de Astrofisica, Optica y Electronica"

DOI:

https://doi.org/10.13053/cys-20-4-2305

Keywords:

Discrete cosine transform, eye fundus images, segmentation, super-Gaussian filter.

Abstract

This paper presents a new method using discrete transforms to segment blood vessels and exudates in eye fundus color images. To obtain the desired segmentation, an illumination correction is previously done based on a homomorphic filter because of the uneven illuminance in the eye fundus image. To distinguish foreground objects from the background, we propose a super Gaussian bandpass filter in the discrete cosine transform DCT domain. These filters are applied on the green channel that contains information to segment pathologies. To segment exudates in the filtered DCT image, a gamma correction is applied to enhance foreground objects; in the resulting image, the Otsu's global threshold method is applied, after which, a masking operation over the effective area of the eye fundus image is performed to obtain the final segmentation of exudates. In the case of blood vessels, the negative of the image filtered with DCT is first calculated, then a median filter is applied to reduce noise and artifacts, followed by a gamma correction. Again, the Otsu's global threshold method for binarization, next a morphological closing operation is employed, and a masking operation gives the corresponding final segmentation. Illustrative examples taken from a free clinical database are included to demonstrate the capability of the proposed methods.

Author Biographies

Luis David Lara Rodríguez, "Instituto Nacional de Astrofisica, Optica y Electronica"

Luis David Lara Rodriguez received his B.E. (2007) from Puebla Institute of Technology (ITP), Mexico and his M.Sc. (2011) from the Benemeritus Autonomous University of  Puebla (BUAP), Mexico. He is a PhD. student in the National Institute of Astrophysics, Optics and Electronics (INAOE) in Tonantzintla, Mexico. His present research interests include 3D modeling, digital image processing and optical system simulation.

Gonzalo Urcid Serrano, "Instituto Nacional de Astrofisica, Optica y Electronica"

Gonzalo Urcid Serrano received his B.E. (1982) and M.Sc. (1985) both from the University of the Americas in Puebla, Mexico and his Ph.D. (1999) in optics from the National Institute of Astrophysics, Optics and Electronics (INAOE) in Tonantzintla, Mexico. He holds the appointment since 2001 of National Researcher from the Mexican National Council of Science and Technology (SNI-CONACYT), and currently is an Associate Professor in the Optics Department at INAOE. His present research interests include applied mathematics, digital processing of multichannel images, artificial neural networks based on lattice algebra and pattern recognition.

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Published

2016-12-18

Issue

Vol. 20 No. 4 (2016): Thematic Issue: Research Advances and Applications of Evolutionary Computation (Guest Editors: H.J. Escalante, M. Graff)

Section

Articles

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