摘要
以往采用多方向滤波、中值滤波、F.Safa滤波对混合图像进行滤波处理,存在效果差的问题,为了改善混合图像质量,提出了基于数学形态学的均值滤波方法。根据混合图像结构元素选取流程,分析不同混合图像结构元素尺寸,当元素尺寸被选定后,结合均值滤波原理,分析最大结构元素尺寸变化内的各种形态,在去除噪声同时保留完整图像边缘。依据形态学均值滤波处理过程,引入数学形态学中开闭运算方法,根据开闭运算步骤,计算像素值与原像素差值,获取噪声像素点,进行形态学计算,在保留原有信号前提下,对混合图像进行除燥处理,由此完成混合图像均值滤波方法研究。通过实验对比结果可知,该方法最高除燥效果可达到95%,为混合图像更加清晰展示提供支持。
In the past,multi-direction filtering,median filtering and F. Safa filtering were used to filter mixed images,which had poor effect. In order to improve the quality of mixed images,a mean filtering method based on mathematical morphology was proposed. According to the process of selecting structural elements of mixed images,the sizes of different structural elements of mixed images are analyzed. When the sizes of elements are selected,combined with the principle of mean filtering,the various shapes within the change of the maximum size of structural elements are analyzed,and the noise is removed while preserving the complete image edges. According to the process of morphological mean filtering,the open-close operation method in mathematical morphology is introduced. According to the step of openclose operation,the difference between the pixel value and the original pixel value is calculated,the noise pixel point is obtained,and the morphological calculation is carried out. On the premise of retaining the original signal,the mixed image is dehumidified,thus the mixed image mean value is completed. Filtering method. The experimental results show that the maximum drying effect of this method can reach 95%,which provides support for clearer display of mixed images.
作者
杨芹
YANG Qin(Yantai Automobile Engineering Professional College,Yantai 265507,China)
出处
《电子设计工程》
2019年第9期136-139,144,共5页
Electronic Design Engineering
