基于中值与均值滤波的边缘检测优化算法

Optimal Algorithm of Edge Detection Based on Median and Mean Filter

图像在采集过程中容易受到视角、尺度、亮度、污渍、模糊等不确定因素的影响,造成较大失真.为减少失真,提高边缘提取的精度,在多噪声环境下,提出了中值与均值滤波相结合的边缘检测优化算法,实验仿真结果表明,该算法能有效抑制噪声,能提高图像边缘提取的精度.

Influenced by the uncertain factors such as viewing angle,scale,brightness,stains,vague,images in the acquisition process are usually distorted;subsequently,the image process with be affected.To reduce the distortion and to ensure the precision of edge detection,this paper put forwards an optimized algorithm of combining median filter with mean filter for edge detection.Simulation results show that this algorithm can effectively suppress noise and improve the precision of image edge extraction.