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A New Method of Fundus Image Enhancement Based on Rough Set and Wavelet Transform

机译:基于粗糙集和小波变换的基底图像增强方法新方法

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Fundus images are complex images with more details, and on the basis of the inadequate fuzzy enhancement algorithm proposed by Pal et al, this article propose an improved algorithm of rough set for fundus image enhancement. The fundus image will be multi-scale decomposed by wavelet transform firstly, and then the subgraphs are enhanced by using rough set to improve the visual effects; finally the processed sub-images will be reconstructed and generated a new-enhanced image. Compared with the Pal' algorithm, the new algorithm not only overcomes its weaknesses that the threshold is set with a fixed value, but also reduces the number of iterations. Experimental results show that the improved enhancement algorithm has a better effect on the fundus image enhancement, and the various details of fundus images can be shown better.
机译:基底图像是具有更多细节的复杂图像,并且在PAL等人提出的模糊增强算法的基础上,本文提出了一种改进的粗糙集算法,用于对眼底图像增强。眼底图像将首先通过小波变换进行多级分解,然后使用粗糙集来提高子图以提高视觉效果;最后,将重建处理的子图像并生成新增强的图像。与PAL算法相比,新算法不仅克服了阈值以固定值设置的弱点,而且还减少了迭代的数量。实验结果表明,改进的增强算法对眼底图像增强具有更好的影响,并且可以更好地显示眼底图像的各种细节。

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