An Improved Image Enhancement Algorithm Based on Fuzzy Sets

Tang Shi-wei, Zu Guofeng, Nie Mingming
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引用次数: 8

Abstract

An improved algorithm is brought out in this paper in order to overcome the shortcomings of the traditional Pal-King image enhancement algorithm based on fuzzy sets. A new membership function and fuzzy-enhancement operator is reconstructed in the improved algorithm based on the analysis and research on Pal-King fuzzy-enhancement algorithm. At the same time simulation experiments are carried out. The results show that the improved algorithm effectively overcomes the shortcomings of the Pal-King fuzzy-enhancement algorithm, and guaranties the overall effect of image enhancement, and retains the edge information of the low gray value in the image and improves the efficiency of the algorithm at the same time. Therefore, the improved algorithm in this paper is an effective and efficient image enhancement algorithm based on fuzzy sets.
一种基于模糊集的改进图像增强算法
针对传统基于模糊集的Pal-King图像增强算法的不足,本文提出了一种改进算法。在分析和研究Pal-King模糊增强算法的基础上,重构了新的隶属函数和模糊增强算子。同时进行了仿真实验。结果表明,改进算法有效地克服了Pal-King模糊增强算法的不足,保证了图像增强的整体效果,同时保留了图像中低灰度值的边缘信息,提高了算法的效率。因此,本文提出的改进算法是一种有效的基于模糊集的图像增强算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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