Edge preserving image enhancement via harmony search algorithm

Zaid Abdi Alkareem, Ibrahim Venkat, M. Al-Betar, A. Khader
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引用次数: 25

Abstract

Population based metaheuristic algorithms have been providing efficient solutions to the problems posed by various domains including image processing. In this contribution we address the problem of image enhancement with a specific focus on preserving the edges inherent in images with the aid of a musically inspired harmony search based metaheuristic algorithm. We demonstrate the significance of our proposed intuitive approach which combines efficient techniques from the image processing domain as well as from the optimization domain. Pertaining to the problem under consideration, further we compare our results with the state-of-the-art histogram equalization approach.
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基于和谐搜索算法的图像边缘保持增强
基于种群的元启发式算法已经为包括图像处理在内的各个领域提出的问题提供了有效的解决方案。在这篇贡献中,我们解决了图像增强的问题,特别关注在基于音乐启发的和声搜索的元启发式算法的帮助下保留图像固有的边缘。我们展示了我们提出的直观方法的意义,该方法结合了图像处理领域和优化领域的有效技术。关于正在考虑的问题,我们进一步将我们的结果与最先进的直方图均衡化方法进行比较。
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