摘要
浮选图像采集和传输过程极易受到高斯-椒盐混合噪声的污染,严重了影响后续图像识别的精度。针对此种情况,结合多种传统滤波算法,提出一种去除高斯-椒盐混合噪声的有效算法。实验结果表明:提出的算法在去除浮选图像的混合噪声上要明显优于传统算法,且能够满足实时性需求,在滤除混合噪声上具有很好的参考价值。
Flotation images are easily polluted by Gaussian-sah and pepper mixed noise in the process of acquisition and transmission,which seriously affects the accuracy of subsequent image recognition.Aimed at this situation,an effective algorithm for removing Gaussian-salt and pepper mixed noise is proposed by combining several filtering algorithms in this paper.The experimental results show that the proposed algorithm not only outperforms the traditional algorithm in filtering the mixed noise of the flotation image,but also meets the real-time needs.And it has some good reference values in filtering out the mixed noise.
作者
马逸文
MA Yiwen(School of Information and Electrical Engineering of China University of Mining and Technology, Jiangsu Xuzhou 221000, China)
出处
《电视技术》
北大核心
2017年第11期28-31,共4页
Video Engineering
关键词
浮选图像
高斯-椒盐噪声
滤波算法
实时性
flotation Image
Gaussian-salt and pepper noise
filtering algorithm
real time
作者简介
马逸文（199l-），硕士生，主研数字图像处理与模式识别。
