数码显微镜自动对焦算法 下载: 1754次
夏浩盛, 余飞鸿. 数码显微镜自动对焦算法[J]. 激光与光电子学进展, 2021, 58(4): 0400002.
Haosheng Xia, Feihong Yu. Auto Focusing Algorithm of Digital Microscope[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0400002.
[1] 丁红艳. 基于Hi3516A的HDMI显微自动对焦相机的设计与实现[D]. 杭州: 浙江大学, 2018.
Ding HY. Design and implementation of HDMI microscopic auto-focus camera based on Hi3516A[D]. Hangzhou: Zhejiang University, 2018.
[2] 燕艳. 精密激光自动对焦系统设计[D]. 济南: 山东大学, 2016.
YanY. Design of laser auto-focus precision system[D]. Jinan: Shandong University, 2016.
[3] 王虎. 自动对焦原理及方法[J]. 科技信息(科学教研), 2008( 13): 38.
WangH. Principle and method of auto focus[J]. Science & Technology Information, 2008( 13): 38.
[4] 肖磊. 基于激光三角测距法的自动对焦系统研发[D]. 广州: 广东工业大学, 2011.
XiaoL. The research and development of the autofocus system based on the laser-triangulation[D]. Guangzhou: Guangdong University of Technology, 2011.
[5] 任工昌, 刘崇展, 刘朋, 等. 自动调焦在单目测距方法中的研究[J]. 机械设计与制造, 2019( 4): 146- 149.
Ren GC, Liu CZ, LiuP, et al. Study on monocular distance measurement based on auto focus[J]. Machinery Design & Manufacture, 2019( 4): 146- 149.
[6] 项魁, 高健. 自动对焦过程中图像清晰度评价算法研究[J]. 组合机床与自动化加工技术, 2019( 1): 52- 55.
XiangK, GaoJ. Research on the image definition evaluation algorithm in autofocus process[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2019( 1): 52- 55.
[8] Machine Intelligence. PAMI-[J]. Pentland A P. A new sense for depth of field. IEEE Transactions on Pattern Analysis, 1987, 9(4): 523-531.
[9] PentlandA, DarrellT, TurkM, et al.A simple, real-time range camera[C]//Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 4-8, 1989, San Diego, CA, USA. New York: IEEE Press, 1989: 256- 261.
[10] Subbarao M, Surya G. Depth from defocus: a spatial domain approach[J]. International Journal of Computer Vision, 1994, 13(3): 271-294.
[11] Subbarao M, Wei T C, Surya G. Focused image recovery from two defocused images recorded with different camera settings[J]. IEEE Transactions on Image Processing, 1995, 4(12): 1613-1628.
[12] Nayar SK. Shape from focus system[C]. IEEE Computer Society Conference on Computer Vision & Pattern Recognition, June 15-18, 1992, Champaign, USA.New York: IEEE Press, 1992: 4382942.
[13] Tenenbaum JM. Accommodation in computer vision[M]. Stanford: Stanford University, 1971.
[14] Schlag JF, Sanderson AC, Neuman CP, et al. Implementation of automatic focusing algorithms for a computer vision system with camera control[R]. Pittsburgh: Carnegie Mellon University, 1983.
[15] Grossmann P. Depth from focus[J]. Pattern Recognition Letters, 1987, 5(1): 63-69.
[16] Krotkov E. Focusing[J]. International Journal of Computer Vision, 1988, 1(3): 223-237.
[17] 江旻珊, 张楠楠, 张学典, 等. 混合搜索法在显微镜自动对焦中的应用[J]. 光电工程, 2017, 44(7): 685-694.
[18] 罗文睿. 基于改进爬上算法的数字显微镜自动对焦方法[J]. 工具技术, 2019, 53(9): 112-116.
[19] 刘书炘, 刘满华. 基于模糊熵评价和最优搜索的自动对焦算法[J]. 重庆邮电大学学报(自然科学版), 2017, 29(4): 514-520.
[20] 唐柳生. 病理切片数字化扫描设备图像处理技术研究[D]. 广州: 华南理工大学, 2019.
Tang LS. Research on image processing technology of pathological section digital scanning equipment[D]. Guangzhou: South China University of Technology, 2019.
夏浩盛, 余飞鸿. 数码显微镜自动对焦算法[J]. 激光与光电子学进展, 2021, 58(4): 0400002. Haosheng Xia, Feihong Yu. Auto Focusing Algorithm of Digital Microscope[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0400002.