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Research on Improved Image Enhancement Algorithm Based on Fuzzy Set

机译:基于模糊集的改进图像增强算法研究

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According to the shortcomings of the traditional fuzzy enhancement algorithms, several improvements are proposed. In this improved algorithm, the membership grade functions and fuzzy enhancement operator are made up of piecewise and continuous functions, the image is divided into two regions by OTSU method, one is high grey region, the other is low grey region, pixels in the high grey region are enhanced, and pixels in the low grey region are reduced. Simulation results show that this algorithm has good ability to enhance blur and little edges, and it is an effective and efficient way to increase image's contrast.
机译:根据传统模糊增强算法的缺点,提出了几种改进。在这种改进的算法中,隶属级功能和模糊增强算子由分段和连续功能组成,图像被OTSU方法分为两个区域,一个是高灰色区域,另一个是低灰色区域,高点的像素灰色区域得到增强,并且降低了低灰色区域中的像素。仿真结果表明,该算法具有增强模糊和小边缘的良好能力,这是提高图像对比的有效和有效的方法。

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