基于模糊推理和柔性形态滤波的图像增强方法

根据柔性形态学的相关概念和性质,提出了一种基于模糊推理和柔性形态滤波的图像增强方法.该方法首先定义了方向性结构元素,在结构元素内引入模糊推理方法判别图像边缘方向,进而构造方向性柔性形态学滤波器对图像边缘进行滤噪增强,并根据局部均值和熵差自适应确定增强系数.实验结果表明该方法可以有效滤除噪声,增强图像边缘.

Image Enhancement Based on Fuzzy Inference and Soft Morphological Filtering

According to the correlative concept and properties of soft morphology,an image enhancement approach based on fuzzy inference and soft morphological filtering is proposed.With the idea of fingerprint image enhancement taken for reference, the directional structuring elements are defined,in which the fuzzy inference is introduced to judge the direction of image edges,and further,construct directional filter of soft morphology so as to filter off noise and enhance image edges.The coefficient of image enhancement is thus determined adaptively according to local mean value and entropy difference.Experimental results showed that the approach proposed can filter off the high-frequency noise and upgrade image edge effectively.