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An Improved Combined Adaptive Outline for Contrast Enhancement of Blood Vessels

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Abstract

Appropriate vascular segmentation is dependent on effective picture pre-processing techniques that improve the contrast of the blood vessels, reduce noise, eliminate non-uniform illumination, highlight thin vessels, and retain background texture. These techniques are necessary for accurate vessel segmentation. Here, both the edge- and texture-smoothed data from the vessel probability map are used in the derivation of the adaptive optimal q-order in the G-L mask. The smooth information is not affected, the textures are maintained, and the contrast of the blood vessels is enhanced, thanks to the proposed filter. In addition to sharpening the focus on the vessels themselves, a Gaussian curve fitting is used to contrast stretch the entire image. Retinal fundus images processed with cerebral DSA are subjected to both qualitative and quantitative assessments of contrast enhancement. Quantitative performance indicators are tabulated and compared to other approaches to show how well this technique works for improving medical images everywhere. The suggested filter is easy to implement, flexible enough to adapt to different images, and effective at increasing both vessel contrast and overall image contrast.

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Authors and Affiliations

  1. Department of Computer Science, Christ(Deemed to be University), Bangalore, Karnataka, 560 073, India

    Gayathry Sobhanan Warrier

  2. Department of Endocrinology, IMS & SUM Hospital, SOA University, Bhubaneswar, India

    Hariballav Mahapatra

  3. Department of Rural Management, KIIT University, Bhubaneswar, India

    Monalisa Khuntia

  4. School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India

    M. Rajesh & Rajiv Vincent

  5. Department of Computer Science, Shobhit Institute of Engineering & Technology (Deemed to-be University), Meerut, India

    Avinav Pathak

  6. Sevayan Diabetes Centre, Puri, India

    Hariballav Mahapatra

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  1. Gayathry Sobhanan Warrier
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  2. Hariballav Mahapatra
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  3. Monalisa Khuntia
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  4. M. Rajesh
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  5. Rajiv Vincent
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Correspondence to Gayathry Sobhanan Warrier.

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This article is part of the topical collection “Research Trends in Computational Intelligence” guest edited by Anshul Verma, Pradeepika Verma, Vivek Kumar Singh, and S. Karthikeyan.

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Warrier, G.S., Mahapatra, H., Khuntia, M. et al. An Improved Combined Adaptive Outline for Contrast Enhancement of Blood Vessels. SN COMPUT. SCI. 4, 676 (2023). https://doi.org/10.1007/s42979-023-02069-5

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