摘要
提出了一种基于中值滤波和灰度形态学的去噪算法。首先利用中值滤波和形态学滤波的方法对原始图像进行去噪处理,而后叠加经过高帽变换的图像以增强边缘信息,改善了传统中值滤波算法易造成边缘模糊和对噪声强度敏感的不足。该算法简洁、耗时少。算法的实用性用计算机进行了仿真验证。
An algorithm based on median filter and gray morphology was designed to remove the noises in the image. The approach of compounding the median filter and morphological filter to suppress the noises in the image was firstly used, and then the image that was processed by the top-hat transformation was added to the denoised image to enhance the information of the edge. The disadvantage of the median filter, which will lead to fuzzy edge and the sensitivity to the intensity o4 noise, is overcome. This algorithm is concision and has a little cost of time.Its practicability is validated and simulated by means of computer.
出处
《仪器仪表用户》
2007年第4期106-107,共2页
Instrumentation
关键词
中值滤波
数学形态学
高帽变换
median filter
mathematical morphology
top-hat
