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Two Stage Histogram Enhancement Schemes to Improve Visual Quality of Fundus Images

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Advances in Computing and Data Sciences (ICACDS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 905))

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Abstract

A fundus image plays a significant role to analyze a wide variety of ophthalmic conditions. One of the major challenges faced by ophthalmologist in the analysis of fundus images is its low contrast nature. In this paper, two stage histogram enhancement schemes to improve the visual quality of fundus images are proposed. Fuzzy logic and Histogram Based Enhancement algorithm (FHBE) and Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm are cascaded one after the other to accomplish the two stage enhancement task. This results in two new enhancement schemes, namely FHBE-CLAHE and CLAHE-FHBE. The analysis of the results based on its visual quality shows that two stage enhancement schemes outperforms individual enhancement schemes.

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Acknowledgement

The authors would like to acknowledge the University Grants Commission for the financial support extended under the Major Project Scheme.

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Authors and Affiliations

  1. Department of Information Technology, Kannur University, Kannur, Kerala, India

    Farha Fatina Wahid, K. Sugandhi & G. Raju

Authors
  1. Farha Fatina Wahid
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  2. K. Sugandhi
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  3. G. Raju
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Corresponding author

Correspondence to Farha Fatina Wahid .

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Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Jaypee University of Information Technology, Solan, India

    P. K. Gupta

  3. Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. Institute of Information Theory and Automation, Prague 8, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, Canada

    Tuncer Ören

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Wahid, F.F., Sugandhi, K., Raju, G. (2018). Two Stage Histogram Enhancement Schemes to Improve Visual Quality of Fundus Images. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 905. Springer, Singapore. https://doi.org/10.1007/978-981-13-1810-8_1

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  • DOI: https://doi.org/10.1007/978-981-13-1810-8_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1809-2

  • Online ISBN: 978-981-13-1810-8

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