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Pathologies Segmentation in Eye Fundus Images Based on Frequency Domain Filters

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Transactions on Engineering Technologies (WCECS 2015)

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Abstract

This chapter presents a novel method based on discrete frequency transforms to segment various pathologies in eye fundus color images such as exudates, blood vessels, and aneurysms. Non-uniform illuminated eye fundus images are corrected by applying a homomorphic high-pass frequency filter. Then, a super-Gaussian band-pass filter defined in the frequency transform domain is used to distinguish between background and foreground objects. The filtering step works with the green channel that usually contains the most relevant information to segment different pathologies. Specifically, exudates detection after transform inversion of the filtered image requires a gamma correction to enhance foreground objects. Otsu’s thresholding method is applied to the enhanced image and masked over the effective area to get the segmented exudates. For blood vessels and aneurysms, back in the spatial domain, the negative of the filtered image is required. Then a median filter is applied to reduce noise or artifacts followed by gamma contrast enhancement. Again, Otsu’s thresholding method is used for image binarization. Next a morphological closing operation is applied and masking the effective image area gives the segmented blood vessels or aneurysms. Illustrative examples using retinographies from a free public domain clinical database are included to demonstrate the capability of the frequency filter approach.

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Acknowledgements

Gonzalo Urcid thanks the National Research System (SNI-CONACYT) for partial financial support through grant No. 22036. Luis David Lara-Rodríguez and Elizabeth López-Meléndez are grateful with the National Council of Science and Technology (CONACYT) for doctoral scholarships CVU-332238 and CVU-332355, respectively.

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Authors and Affiliations

  1. Optics Department, INAOE, Luis Enrique Erro No. 1, 72840, Tonantzintla, Puebla, Mexico

    Gonzalo Urcid, Luis David Lara-R & Elizabeth López-M

Authors
  1. Gonzalo Urcid
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  2. Luis David Lara-R
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  3. Elizabeth López-M
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Corresponding author

Correspondence to Gonzalo Urcid .

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Editors and Affiliations

  1. IAENG Secretariat, International Association of Engineers, Hong Kong, Hong Kong

    Sio-Iong Ao

  2. Department of Computer and Communication, Engineering College, Catholic University of Daegu, Daegu, Korea (Republic of)

    Haeng Kon Kim

  3. Provost and Senior Vice-President, University of New Orleans, New Orleans, Louisiana, USA

    Mahyar A. Amouzegar

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Urcid, G., Lara-R, L.D., López-M, E. (2017). Pathologies Segmentation in Eye Fundus Images Based on Frequency Domain Filters. In: Ao, SI., Kim, H., Amouzegar, M. (eds) Transactions on Engineering Technologies. WCECS 2015. Springer, Singapore. https://doi.org/10.1007/978-981-10-2717-8_10

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  • DOI: https://doi.org/10.1007/978-981-10-2717-8_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2716-1

  • Online ISBN: 978-981-10-2717-8

  • eBook Packages: EngineeringEngineering (R0)

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