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Automatic Exudate Detection in Color Fundus Images

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Digital TV and Wireless Multimedia Communication (IFTC 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 685))

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Abstract

Diabetic retinopathy is a major cause of blindness in working age population and exudates are considered the most significant characteristics of diabetic retinopathy. Therefore, automatic exudate detection is beneficial to large-scale diabetic retinopathy screening. In this paper, an automatic approach for detection of exudates on color fundus images is presented and discussed, which is based on the thresholding technique and Kirsch’s edge detection. Besides, a color space conversion step (from RGB to YIQ) is utilized to improve the detection performance. The method is evaluated on a public dataset of fundus images from various ethnic groups. We obtain an average sensitivity of 75.17% and an average specificity of 97.98%, which outperforms the baseline method and validates the effectiveness of the proposed method.

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Authors and Affiliations

  1. Institute of Image Communication and Network Engineering, Shanghai Key Labs of Digital Media Processing and Transmission, Shanghai Jiao Tong University, Shanghai, 200240, China

    Fucong Qi, Guo Li & Shibao Zheng

Authors
  1. Fucong Qi
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  2. Guo Li
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  3. Shibao Zheng
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Corresponding author

Correspondence to Shibao Zheng .

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Editors and Affiliations

  1. Shanghai Jiao Tong University, Shanghai, China

    Xiaokang Yang

  2. Shanghai Jiao Tong University, Shanghai, China

    Guangtao Zhai

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Qi, F., Li, G., Zheng, S. (2017). Automatic Exudate Detection in Color Fundus Images. In: Yang, X., Zhai, G. (eds) Digital TV and Wireless Multimedia Communication. IFTC 2016. Communications in Computer and Information Science, vol 685. Springer, Singapore. https://doi.org/10.1007/978-981-10-4211-9_16

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  • DOI: https://doi.org/10.1007/978-981-10-4211-9_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4210-2

  • Online ISBN: 978-981-10-4211-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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