光学显微成像系统图像清晰度评价函数的对比
|
摘要
图像清晰度评价函数是评价各类成像系统成像质量的一个关键函数,为找到合适的图像清晰度评价算法,采用MATLAB软件对16种适用于光学显微成像系统的清晰度评价函数进行仿真,定量分析了不同算法的灵敏度、单峰性、无偏性以及运算速度。实验表明:Laplacian函数具有较高的单峰性、无偏性和灵敏度;存在高斯噪声时,Brenner函数、Tenengrad函数和基于Prewitt算子的函数以及中值滤波-离散余弦函数稳定性好;而存在椒盐噪声时,Roberts函数综合性能最优。
Sharpness function is the key in the imaging systems.We compared sixteen functions to determine which function is most suitable.We took into consideration that are inherent to the autofocus algorithm,such as unbiasedness, unimodality,sensitivity and timeconsumption.The simulation with MATLAB has shown that the Laplacian function would be our first choice for its best performance.But in a situation with Gaussian noise,the Brenner function,the Tenengrad function,sharpness function based on Prewitt edge detection operator and median filtering and discrete cosine function perform well.In a situation with salt and pepper noise,the Roberts function has good stability.
Sharpness function is the key in the imaging systems.We compared sixteen functions to determine which function is most suitable.We took into consideration that are inherent to the autofocus algorithm,such as unbiasedness, unimodality,sensitivity and timeconsumption.The simulation with MATLAB has shown that the Laplacian function would be our first choice for its best performance.But in a situation with Gaussian noise,the Brenner function,the Tenengrad function,sharpness function based on Prewitt edge detection operator and median filtering and discrete cosine function perform well.In a situation with salt and pepper noise,the Roberts function has good stability.
引文
[1]任四刚,李见为,谢利利.基于灰度差分法的自动调焦技术[J].光电工程,2003,30(2):53-55.
[2]李奇,冯华君,徐之海,等.数字图象清晰度评价函数研究[J].光子学报,2002,31(6):736-738.
[3]王健,陈洪斌,周国忠,等.改进的Brenner图像清晰度评价算法[J].光子学报,2012,41(7):855-858.
[4]陈国金,朱妙芬,张克松.图像调焦过程的清晰度评价函数研究[J].数据采集与处理,2009,24(2):165-169.
[5]高赞,姜威,朱孔凤,等.基于Roberts梯度的自动聚焦算法[J].红外与激光工程,2006,35(1):117-121.
[6]YAO Y,ABIDI B,DOGGAZ N,et al.Evaluation of sharpness measures and search algorithms for the auto focusing of high-magnification images[C]∥Proceedings of the SPIE volume 6246visual information processing XV.Orlando:SPIE,2006,6246:62460G.
[7]REDONDO R,BUENO G,VALDIVIEZO J C,et al.Autofocus evaluation for brightfield microscopy pathology[J].Journal of Biomedical Optics,2012,17(3):036008.
[8]孙文.调制传递函数测试仪的自动调焦技术研究[D].南京:南京理工大学,2009.
[9]SANTOS A,DE SOLRZANO C O,VAQUERO JJ,et al.Evaluation of autofocus functions in molecular cytogenetic analysis[J].Journal of Microscopy,1997,188(3):264-272.
[10]JARVIS R A.Focus optimization criteria for computer image processing[J].Microscope,1976,24(2):163-180.
[11]鲍歌堂,赵辉,陶卫.图像测量技术中几种自动调焦算法的对比分析[J].上海交通大学学报,2005,39(1):121-124.
[12]吴振锋,左洪福,邱根良.光学显微镜自动聚焦的技术研究[J].光学仪器,2000,22(4):9-12.
[13]ZHANG X,JIA C,XIE K.Evaluation of autofocus algorithms for automatic detection of Caenorhabditis elegans lipid droplets[J].Progress in Biochemistry and Biophysics,2016,43(2):167-175.
[14]MATEOS-PREZ J M,REDONDO R,NAVA R,et al.Comparative evaluation of autofocus algorithms for a realtime system for automatic detection of mycobacterium tuberculosis[J].Cytometry Part A,2012,81(3):213-221.
[15]郑玉珍,吴勇,倪旭翔.实时自动对焦的研究[J].光电工程,2004,31(4):64-66.
[16]吴曦.基于MATLAB的图像边缘检测算法的研究和实现[D].长春:吉林大学,2014.
[17]刘兴宝.基于数字图像处理的自动对焦技术研究[D].绵阳:中国工程物理研究院,2007.
[2]李奇,冯华君,徐之海,等.数字图象清晰度评价函数研究[J].光子学报,2002,31(6):736-738.
[3]王健,陈洪斌,周国忠,等.改进的Brenner图像清晰度评价算法[J].光子学报,2012,41(7):855-858.
[4]陈国金,朱妙芬,张克松.图像调焦过程的清晰度评价函数研究[J].数据采集与处理,2009,24(2):165-169.
[5]高赞,姜威,朱孔凤,等.基于Roberts梯度的自动聚焦算法[J].红外与激光工程,2006,35(1):117-121.
[6]YAO Y,ABIDI B,DOGGAZ N,et al.Evaluation of sharpness measures and search algorithms for the auto focusing of high-magnification images[C]∥Proceedings of the SPIE volume 6246visual information processing XV.Orlando:SPIE,2006,6246:62460G.
[7]REDONDO R,BUENO G,VALDIVIEZO J C,et al.Autofocus evaluation for brightfield microscopy pathology[J].Journal of Biomedical Optics,2012,17(3):036008.
[8]孙文.调制传递函数测试仪的自动调焦技术研究[D].南京:南京理工大学,2009.
[9]SANTOS A,DE SOLRZANO C O,VAQUERO JJ,et al.Evaluation of autofocus functions in molecular cytogenetic analysis[J].Journal of Microscopy,1997,188(3):264-272.
[10]JARVIS R A.Focus optimization criteria for computer image processing[J].Microscope,1976,24(2):163-180.
[11]鲍歌堂,赵辉,陶卫.图像测量技术中几种自动调焦算法的对比分析[J].上海交通大学学报,2005,39(1):121-124.
[12]吴振锋,左洪福,邱根良.光学显微镜自动聚焦的技术研究[J].光学仪器,2000,22(4):9-12.
[13]ZHANG X,JIA C,XIE K.Evaluation of autofocus algorithms for automatic detection of Caenorhabditis elegans lipid droplets[J].Progress in Biochemistry and Biophysics,2016,43(2):167-175.
[14]MATEOS-PREZ J M,REDONDO R,NAVA R,et al.Comparative evaluation of autofocus algorithms for a realtime system for automatic detection of mycobacterium tuberculosis[J].Cytometry Part A,2012,81(3):213-221.
[15]郑玉珍,吴勇,倪旭翔.实时自动对焦的研究[J].光电工程,2004,31(4):64-66.
[16]吴曦.基于MATLAB的图像边缘检测算法的研究和实现[D].长春:吉林大学,2014.
[17]刘兴宝.基于数字图像处理的自动对焦技术研究[D].绵阳:中国工程物理研究院,2007.