journal6 ›› 2014, Vol. 35 ›› Issue (1): 53-57.DOI: 10.3969/j.issn.1007-2985.2014.01.013
• 信息与通信 • 上一篇 下一篇
徐倩，黄光亚
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作者简介:
XU Qian, HUANG Guang-Ya
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摘要：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.
关键词： 中值滤波, 均值滤波, PSNR, NMSE
Abstract: 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.
Key words: median filter, mean filter, edge detection, PSNR, NMSE
徐倩, 黄光亚. 基于中值与均值滤波的边缘检测优化算法[J]. journal6, 2014, 35(1): 53-57.
XU Qian, HUANG Guang-Ya. Optimal Algorithm of Edge Detection Based on Median and Mean Filter[J]. journal6, 2014, 35(1): 53-57.
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链接本文: https://zkxb.jsu.edu.cn/CN/10.3969/j.issn.1007-2985.2014.01.013
https://zkxb.jsu.edu.cn/CN/Y2014/V35/I1/53
