MTF measurement method based on slanted-edge image simulated by normal distribution

	MTF measurement method based on slanted-edge image simulated by normal distribution
	Yuan, H.; Y. Guo; G. Si; Y. Li and L. Qu
	2015
发表期刊	Guangxue Xuebao/Acta Optica Sinica
卷号	35 期号:7
摘要	The modulation transfer function (MTF) is one of the key indicators to evaluate the signal transmission frequency characteristics of an optical imaging system, and the slanted-edge method is one of the important MTF measurement methods. To solve the problem that the traditional slanted-edge measurement method is not robust against noise, a new MTF measurement method based on the normal distribution fitting and median point estimate is proposed. A modified method that estimates the edge angle by fitting a two-dimensional function to the image data based on the normal distribution is proposed, the optimum slope angle and edge-spread curve of the actual image are calculated by using the method of looking up median point to the fitted image, and the edge-spead function (ESF) is achieved by using the Fermi function. The experimental result shows that the precision of the edge angle of the modified method is improved obviously when the noise of the actual image is relatively seriously, and the precision of the value of the MTF is also increased. , 2015, Chinese Optical Society. All right reserved.
文章类型	期刊论文
收录类别	EI
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/56217
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Yuan, H.,Y. Guo,G. Si,et al. MTF measurement method based on slanted-edge image simulated by normal distribution[J]. Guangxue Xuebao/Acta Optica Sinica,2015,35(7).
APA	Yuan, H.,Y. Guo,G. Si,&Y. Li and L. Qu.(2015).MTF measurement method based on slanted-edge image simulated by normal distribution.Guangxue Xuebao/Acta Optica Sinica,35(7).
MLA	Yuan, H.,et al."MTF measurement method based on slanted-edge image simulated by normal distribution".Guangxue Xuebao/Acta Optica Sinica 35.7(2015).

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
正态分布模拟倾斜刃边图像的MTF测量方法（3389KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载