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A New Approach for Color Distorted Region Removal in Diabetic Retinopathy Detection

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Advancements of Medical Electronics

Part of the book series: Lecture Notes in Bioengineering ((LNBE))

Abstract

Automatic detection of Diabetic Retinopathy (DR) abnormalities in fundus retinal images can assist in early diagnosis and timely treatment of DR, to avoid further deterioration of vision. Many Fundus Retinal images contain color distorted regions originated due to noise, extremely uneven or poor illumination and improper exposure of fundus camera. These regions are required to be removed to avoid poor results for feature extraction and erroneous DR abnormality detections, as they introduce high amount of false positive detections. In this paper, we have proposed a totally automatic method for segmentation and removal of the color distorted regions in retinal fundus images, using modified Valley Emphasized Automatic thresholding method and morphological operations. The proposed algorithm accurately defines the well illuminated color undistorted retinal region inside the input fundus image, from which both the normal and disease features can be successfully detected. The proposed method has yield an average accuracy of more than 95 % when tested over around 700 fundus images from diaretdb0, diaretdb1, STARE, HRFDB and DRIVE databases.

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Author information

Authors and Affiliations

  1. Bengal Institute of Technology, Kolkata, West Bengal, India

    Nilarun Mukherjee

  2. IEEE, Kalyani Government Engineering College, Kalyani, West Bengal, India

    Himadri Sekhar Dutta

Authors
  1. Nilarun Mukherjee
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  2. Himadri Sekhar Dutta
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Corresponding author

Correspondence to Nilarun Mukherjee .

Editor information

Editors and Affiliations

  1. Information Technology, JIS College of Engineering, Kalyani, West Bengal, India

    Somsubhra Gupta

  2. Biomedical Engineering, JIS College of Engineering, Kalyani, West Bengal, India

    Sandip Bag

  3. Biomedical Engineering, JIS College of Engineering, Kalyani, West Bengal, India

    Karabi Ganguly

  4. Electronics & Communication Engineering, JIS College of Engineering, Kalyani, West Bengal, India

    Indranath Sarkar

  5. Electrical Engineering, JIS College of Engineering, Kalyani, West Bengal, India

    Papun Biswas

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Mukherjee, N., Dutta, H.S. (2015). A New Approach for Color Distorted Region Removal in Diabetic Retinopathy Detection. In: Gupta, S., Bag, S., Ganguly, K., Sarkar, I., Biswas, P. (eds) Advancements of Medical Electronics. Lecture Notes in Bioengineering. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2256-9_9

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  • DOI: https://doi.org/10.1007/978-81-322-2256-9_9

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2255-2

  • Online ISBN: 978-81-322-2256-9

  • eBook Packages: EngineeringEngineering (R0)

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