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

机译:基于改进鲨嗅机优化算法的新改进的医学图像增强优化方法

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摘要

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.
机译:医学图像增强是医学图像处理的主要类别,对最终诊断结果产生了很大影响。本文介绍了一种新的优化技术,用于增强医学图像的对比度。这里的主要思想是通过考虑全球和本地增强来提出优化问题,以实现强大的图像增强方法。这里的其他新颖性是提出了一种新的改进版本的Shark Smell优化算法,以应用于提高算法收敛的优化问题。基于五种不同的测量指标分析最终结果,并与五种流行的方法进行比较,用于说明所提出的技术的优越性。

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