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Construction and verification of retinal vessel segmentation algorithm for color fundus image under BP neural network model

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Abstract

To improve the accuracy of retinal vessel segmentation, a retinal vessel segmentation algorithm for color fundus images based on back-propagation (BP) neural network is proposed according to the characteristics of retinal blood vessels. Four kinds of green channel image enhancement results of adaptive histogram equalization, morphological processing, Gaussian matched filtering, and Hessian matrix filtering are used to form feature vectors. The BP neural network is input to segment blood vessels. Experiments on the color fundus image libraries DRIVE and STARE show that this algorithm can obtain complete retinal blood vessel segmentation as well as connected vessel stems and terminals. When segmenting most small blood vessels, the average accuracy on the DRIVE library reaches 0.9477, and the average accuracy on the STARE library reaches 0.9498, which has a good segmentation effect. Through verification, the algorithm is feasible and effective for blood vessel segmentation of color fundus images and can detect more capillaries.

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Acknowledgements

This work was supported by Baotou Medical College "learning program," "learning program," and "practice program" in 2018 (Grant Number: 2018BYWWJ-ZX-04); innovation and entrepreneurship training program for college students of Baotou Medical College in 2019 (Grant Number: BYDCXL-201922); Bud program of Baotou Medical College in 2019 (Grant Number: 2019BYJJ-HL-11); Baotou Medical and Health Science and Technology in 2019 (Grant Number: wsjj2019040); and Baotou Medical College BeanStalk project in 2020 (Grant Number: 2020BYJJ-11); and Inner Mongolia Natural Science Foundation (Grant Number: 2020MS06001).

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  1. School of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, 014060, China

    Siyuan Tang

  2. Department of Ophthalmology, Zhuji Affiliated Hospital of Shaoxing University, Zhuji, China

    Feifei Yu

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  1. Siyuan Tang
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  2. Feifei Yu
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Correspondence to Feifei Yu.

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Tang, S., Yu, F. Construction and verification of retinal vessel segmentation algorithm for color fundus image under BP neural network model. J Supercomput 77, 3870–3884 (2021). https://doi.org/10.1007/s11227-020-03422-8

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  • DOI: https://doi.org/10.1007/s11227-020-03422-8

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