Abstract
This paper surveys blood vessel contrast enhancement algorithms in digital images, aiming to optimize imaging techniques for accurate analysis and interpretation of vascular structures. Various contrast enhancement techniques, including global and local approaches, are employed to improve the visibility and differentiation of blood vessels from the surrounding background. The investigation reveals that both global and local enhancement techniques play vital roles in enhancing blood vessel contrast. Global enhancement methods, such as spatial and frequency domain approaches, focus on enhancing overall contrast and visibility throughout the entire image. Yet, local enhancement techniques selectively enhance contrast and visibility in specific regions of interest, while preserving overall image quality. By combining global and local enhancement approaches, researchers can achieve comprehensive and targeted enhancement of blood vessel visibility and analysis. The findings emphasize the significance of utilizing suitable enhancement techniques to optimize blood vessel contrast in digital images and advance the field of medical imaging. This research contributes valuable insights for the development of optimized imaging techniques and algorithms for accurate blood vessel analysis and diagnosis.
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This work is supported by the Ministry of Higher Education (MoHE), Malaysia, under the Fundamental Research Grant Scheme (FRGS), with grant number FRGS/1/2019/TK04/USM/02/1.
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Khaniabadi, S.M., Mat Sakim, H.A., Ibrahim, H., Huqqani, I.A., Khaniabadi, F.M., Teoh, S.S. (2024). Survey on Blood Vessels Contrast Enhancement Algorithms for Digital Image. In: Ahmad, N.S., Mohamad-Saleh, J., Teh, J. (eds) Proceedings of the 12th International Conference on Robotics, Vision, Signal Processing and Power Applications. RoViSP 2021. Lecture Notes in Electrical Engineering, vol 1123. Springer, Singapore. https://doi.org/10.1007/978-981-99-9005-4_69
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