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A Hybrid Filtering-Based Retinal Blood Vessel Segmentation Algorithm

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Computer Vision and Machine Intelligence in Medical Image Analysis

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 992))

Abstract

The proposed work compares three unsupervised segmentation algorithms for retinal vessel segmentation. In the first stage, uneven light illumination has been removed using morphological operation and with contrast stretching algorithm intensity, normalization has been done. Thereafter, image enhancement has been performed using multiple combinations of filtering algorithms. Finally, using deformable models, Fuzzy c-means and K-means clustering algorithms, segmentation has been performed. After image enhancement using the combination of filters, three segmentation algorithms have been applied and compared. Finally, the segmented images are classified using ground truth standard images and six parameters named as accuracy, sensitivity, specificity, an area under the curve, connectivity area length, and the Matthews Correlation Coefficient have been calculated. All the above-aforementioned algorithms have been tested over three publicly available datasets such as DRIVE, STARE, and CHASE-DB-1.

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Author information

Authors and Affiliations

  1. Chandigarh University, Gharuan, India

    Piyush Samant

  2. GLA University, Mathura, India

    Atul Bansal

  3. Thapar Institute of Engineering and Technology, Patiala, India

    Ravinder Agarwal

Authors
  1. Piyush Samant
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  2. Atul Bansal
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  3. Ravinder Agarwal
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Corresponding author

Correspondence to Piyush Samant .

Editor information

Editors and Affiliations

  1. Department of Computer Applications, Sikkim Manipal Institute of Technology, East Sikkim, Sikkim, India

    Mousumi Gupta

  2. Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology, East Sikkim, Sikkim, India

    Debanjan Konar

  3. Department of Information Technology, RCC Institute of Information Technology, Kolkata, West Bengal, India

    Siddhartha Bhattacharyya

  4. Machine Intelligence Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Sambhunath Biswas

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Samant, P., Bansal, A., Agarwal, R. (2020). A Hybrid Filtering-Based Retinal Blood Vessel Segmentation Algorithm. In: Gupta, M., Konar, D., Bhattacharyya, S., Biswas, S. (eds) Computer Vision and Machine Intelligence in Medical Image Analysis. Advances in Intelligent Systems and Computing, vol 992. Springer, Singapore. https://doi.org/10.1007/978-981-13-8798-2_8

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