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New Improved Optimized Method for Medical Image Enhancement Based on Modified Shark Smell Optimization Algorithm

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Abstract

Medical image enhancement is a principal category of the medical image processing which has a great impact on the final diagnosis results. In this paper, a new optimization technique has been presented for enhancing the contrast of the medical images. The main idea here is to propose an optimization problem by considering both global and local enhancement to achieve a strong image enhancement method. The other novelty here is to propose a new improved version of shark smell optimization algorithm to apply to the mentioned optimization problem for enhancing the algorithm convergence. Final results are analyzed based on five different measure indexes and are compared with five popular methods for illustrating the superiority of the presented technique.

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Acknowledgements

Natural Science Fund of Hubei Province (2015CFC802), Open Project of Hubei Superior and Distinctive Discipline Group of “Mechatronics and Automobiles” (XKQ2018080) and Research Fund for Doctoral Program of Hubei University of Arts and Science (2013B005).

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  1. School of Mechanical Engineering, Hubei University of Arts and Science, Xiangyang, Hubei, 441053, China

    Yuebin Zhou, Jianmin Ye & Yujin Du

  2. Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran

    Fatima Rashid Sheykhahmad

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Zhou, Y., Ye, J., Du, Y. et al. New Improved Optimized Method for Medical Image Enhancement Based on Modified Shark Smell Optimization Algorithm. Sens Imaging 21, 20 (2020). https://doi.org/10.1007/s11220-020-00283-6

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