节点文献
关于数字图像处理中多种去噪方法的比较
A Comparison between Multiple Noise-reduction Methods in Digital Image Treatment
【摘要】 目前人工智能学科的发展越来越被大众了解与熟识,计算机视觉成为人工智能能够实现的必要条件。图像输入计算机后噪声对图像质量会带来很多的干扰。提高图像的质量就是消除噪声污染的有效方法之一,常见方法有均值滤波、中值滤波和高斯滤波。对于不同的噪声应选用不同滤波器。
【Abstract】 Although computer vision has already become a necessity for artificial intelligence that is more and more known to the public,lots of interferences as a result of noise may occur to the quality of images when they are entered into a computer. This means that image quality improvement,often including mean filtering,median filtering and Gaussian filtering used for different types of noise can effectively eliminate noise contamination.
【关键词】 计算机视觉;
均值滤波;
中值滤波;
高斯滤波;
【Key words】 Computer Vision; Mean Filtering; Median Filtering; Gaussian Filtering;
【Key words】 Computer Vision; Mean Filtering; Median Filtering; Gaussian Filtering;
【基金】 安徽省教育厅高等学校自然科学重点项目(KJ2017A657),安徽省教育厅高等学校省级教学研究一般项目(2017JYXM0663),安徽省教育厅高校优秀青年骨干人才项目中(国内外访学研修项目)(gxgnfx2018112)
- 【文献出处】 吉林工程技术师范学院学报 ,Journal of Jilin Teachers Institute of Engineering and Technology , 编辑部邮箱 ,2019年09期
- 【分类号】TP391.41
- 【被引频次】30
- 【下载频次】956