阶跃型三维形貌信息小波去噪方法研究
樊颖, 邱丽荣, 赵维谦, 王允. 阶跃型三维形貌信息小波去噪方法研究[J]. 应用光学, 2016, 37(4): 542.
Fan Ying, Qiu Lirong, Zhao Weiqian, Wang Yun. Wavelet denoising method for step three-dimensional shape information[J]. Journal of Applied Optics, 2016, 37(4): 542.
[1] 朱健军, 钟渊, 刘泊. 表面三维形貌测量及其评定的研究[J]. 哈尔滨理工大学学报, 2009, 14(1): 43-46.
Zhu Jianjun, Zhong Yuan, Liu Bo. Measurement and assessment evaluation of the three-dimensional surface topography[J]. Journal of Harbin University of Science and Technology,2009,14(1): 43-46.
[2] 姚晋丽, 王霞. 一种基于小波变换的显微图像去噪算法研究与实现[J]. 计算机与数字工程, 2008, 36(7): 21-23,26.
Yao Jinli,Wang Xia. Microscope image denoising algorithm study and realization based on wavelet transform[J]. Computer & Digital Engineering, 2008,36(7): 21-23,26.
[3] 匡海鹏, 王德江, 张景国, 等. 基于中值预滤波的航空图像小波去噪算法研究[J]. 应用光学, 2010, 31(2): 221-224.
[4] 常亮亮, 王广龙. 基于中值滤波和提升小波分析的图像去噪方法研究[J]. 应用光学, 2012, 33(5): 894-898.
[5] 任志英, 高诚辉, 申丁, 等. 双树复小波稳健滤波在工程表面粗糙度评定中的应用[J]. 光学精密工程,2014,22(7): 1820-1827.
[6] 刘长平, 杜世昌, 奚立峰. 基于剪切波的三维零件表面滤波方法[J]. 机械设计与研究,2014(6): 70-76.
Liu Changping,Du Shichang, Xi Lifeng. Shearlet-based filtering method for three-dimensional engineering surfaces[J].Machine Design and Research,2014(6): 70-76.
[7] Zhao Weiqian, Tan Juibin, Qiu Lirong. Bipolar absolute differential confocal approachto higher spatial resolution[J]. Optics Express, 2004, 12(21): 5013-5021.
[8] 刘大礼. 抗反射率实时激光差动共焦显微成像方法与技术研究[D].北京: 北京理工大学,2015.
Liu Dali. Method and technology research on real-time laser differential confocal microscopy without sample reflectivity[D]. Beijing: Beijing Institute of Technology.2015.
[9] Zhao Weiqian, Tan Juibin, Qiu Lirong , et al. A new laser heterodyne confocal probefor ultraprecision measurement of discontinuous contours[J]. Mesurement Science and Technology, 2005, 16(2): 497-504.
[10] 郭俊杰, 邱丽荣, 王允, 等. 用于惯性约束聚变靶丸测量的激光差动共焦传感器[J].光学精密工程, 2013,21(3): 644-651.
[11] 吴光文, 王昌明, 包建东, 等. 基于自适应阈值函数的小波阈值去噪方法[J]. 电子与信息学报,2014,36(6): 1340-1347.
Wu Guangwen, Wang Changming, Bao Jiandong, et al. A wavelet threshold de-noising algorithm based on adaptive threshold function[J].Journal of Electronics & Information Technology, 2014,36(6): 1340-1347.
[12] 纪峰, 李翠, 常霞, 等. 基于改进阈值函数的自适应图像去噪方法[J]. 传感技术学报,2014(3): 351-354.
Ji Feng, Li Cui, Chang Xia, et al. Adaptive image denoising based on the improved threshold function.[J]. Chinese Journal of Sensors and Actuators[J], 2014(3): 351-354.
[13] 江虹, 苏阳. 一种改进的小波阈值函数去噪方法[J]. 激光与红外,2016,46(1): 119-122.
Jiang Hong, Su Yang. Denoising method based on improved wavelet threshold function[J]. Laser & Infrared,2016,46(1): 119-122.
[14] 李海东, 李青. 基于阈值法的小波去噪算法研究[J]. 计算机技术与发展,2009,19(7): 56-58.
Li Haidong, Li Qing. Wavelet denoising based on technique of threshold[J]. Computer Technology and Development,2009,19(7): 56-58.
[15] 李金伦,崔少辉,汪明. 基于改进中值滤波和提升小波变换的阈值去噪方法研究[J]. 应用光学,2014,35(5): 817-822.
樊颖, 邱丽荣, 赵维谦, 王允. 阶跃型三维形貌信息小波去噪方法研究[J]. 应用光学, 2016, 37(4): 542. Fan Ying, Qiu Lirong, Zhao Weiqian, Wang Yun. Wavelet denoising method for step three-dimensional shape information[J]. Journal of Applied Optics, 2016, 37(4): 542.