WANG Fubin, SUN Zhilin, WANG Shangzheng. Correlation analysis of gray scale and geometric features of femtosecond laser spot[J]. Journal of Applied Optics, 2020, 41(5): 1108-1116. DOI: 10.5768/JAO202041.0507002
Citation: WANG Fubin, SUN Zhilin, WANG Shangzheng. Correlation analysis of gray scale and geometric features of femtosecond laser spot[J]. Journal of Applied Optics, 2020, 41(5): 1108-1116. DOI: 10.5768/JAO202041.0507002

Correlation analysis of gray scale and geometric features of femtosecond laser spot

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  • Received Date: January 13, 2020
  • Revised Date: March 05, 2020
  • Available Online: September 07, 2020
  • During the processing of femtosecond laser ablation of monocrystalline silicon, the effective gray area in the spot image collected by the charge coupled-device (CCD) camera was difficult to distinguish with the background. In order to solve this problem, a method combining the principal component analysis with the adaptive histogram equalization of limited contrast was proposed to enhance the spot image, and then a detrending cross-correlation analysis method was proposed, which analyzed the long-range correlation of gray features and geometric features for the spot sequence images. The results show that the gray features of the spot sequence images have a strong long-range correlation with the spot texture contrast and the spot area, and they show a strong inverse correlation with the texture homogeneity. The correlation relationships are used to predict the gray features in the subsequent micro-groove processing.
  • [1]
    吴磊, 阴万宏, 俞兵, 等. 飞秒激光脉冲宽度和脉冲波形测试技术[J]. 应用光学,2019,40(2):291-299.

    WU Lei, YIN Wanhong, YU Bin, et al. Research on femto-second laser pulse width and pulse waveform measurement technology[J]. Journal of Applied Optics,2019,40(2):291-299.
    [2]
    CHANG G. Concepts and methods for the development of efficient femtosecond laser micromachining technology[D]. Canada: University of Calgary, 2014: 13-14.
    [3]
    WANG F B, ZHAO L H, TU P, et al. Image feature analysis of plasma spot produced from femtosecond laser ablation for silicon wafer[J]. Nanolithography, MEMS, and MOEMS,2017,16(2):025003. doi: 10.1117/1.JMM.16.2.025003
    [4]
    CHANG G, TU Y L. Closed-loop control in ultrafast laser milling process using laser triggered plasma[J]. International Journal of Machine Tools and Manufacture,2012,60:35-39. doi: 10.1016/j.ijmachtools.2012.04.002
    [5]
    王福斌, 刘洋, 潘兴辰, 等. 飞秒激光等离子体光斑图像增强及亮度分析[J]. 中国激光,2019,46(2):39-47.

    WANG Fubin, LIU Yang, PAN Xingchen, et al. Image enhancement and luminance analysis of femtosecond laser induced plasma spot[J]. Chinese Journal of Lasers,2019,46(2):39-47.
    [6]
    HO C C, CHANG Y J, HSU J C, et al. Optical emission monitoring for defocusing laser percussion drilling[J]. Measurement,2016,80:251-258. doi: 10.1016/j.measurement.2015.10.031
    [7]
    刘洋. 流形学习结合ELM的飞秒激光光斑图像分类研究[D].唐山: 华北理工大学, 2019: 9-10.

    LIU Yang. Study on the classification of femtosecond laser spot images based on manifold learning and ELM[D]. Tangshan: North China University of Science and Technology, 2019: 9-10.
    [8]
    翟宁, 于鹏, 宫凤玲, 等. 多层螺旋CT低浓度对比剂联合低剂量扫描诊断消化道出血的实验研究[J]. 中国全科医学,2019,22(3):351-356. doi: 10.12114/j.issn.1007-9572.2018.00.231

    ZHAI Ning, YU Peng, GONG Fengling, et al. Experimental study of low concentration contrast agent combined with low dose MSCT scanning technique in diagnosis of gastrointestinal hemorrhage[J]. Chinese General Practice,2019,22(3):351-356. doi: 10.12114/j.issn.1007-9572.2018.00.231
    [9]
    孙红, 闫志文, 李硕峰, 等. 壳聚糖−明胶−果胶仿生网络膜对间充质干细胞增殖和矿化的影响[J]. 吉林大学学报(医学版),2019,45(1):17-22.

    SUN Hong, YAN Zhiwen, LI Shuofeng, et al. Effects of biomimetic network membrane prepared by chitosan/gelatin/pectin on proliferation and mineralization of mesenehymal stem cells[J]. Journal of Jilin University(Medicine Edition),2019,45(1):17-22.
    [10]
    尚靖武. 过冷流动沸腾换热气泡行为的实验研究[D]. 济南: 山东大学, 2019: 24-25.

    SHANG Jingwu. Experimental study on bubble behavior of subcooled flow boiling heat transfer[D]. Jinan: Shandong University, 2019: 24-25.
    [11]
    尹升华, 邵亚建, 吴爱祥, 等. 基于图像识别技术的膏体微观结构纹理特征分析[J]. 中南大学学报(英文版),2018,25(10):2360-2372. doi: 10.1007/s11771-018-3920-7

    YIN Shenghua, SHAO Yajian, WU Aixiang, et al. Texture features analysis on micro-structure of paste backfill based on image analysis technology[J]. Journal of Central South University,2018,25(10):2360-2372. doi: 10.1007/s11771-018-3920-7
    [12]
    张云鑫.SAR图像特征数据提取与SAR图像分割研究[D].成都: 电子科技大学, 2012: 31-37.

    ZHANG Yunxin. Sar image feature data extraction and Sar image segmentation[D].Chengdu: University of Electronic Science and Technology, 2012: 31-37.
    [13]
    张帆, 徐建瑜. 基于图像特征与竞争型神经网络的蟹苗密度估计[J]. 计算机应用与软件,2017,34(8):236-240. doi: 10.3969/j.issn.1000-386x.2017.08.042

    ZHANG Fan, XU Jianyu. Crab larvae density estimation based on image feature and competitive neural network[J]. Computer Applications and Software,2017,34(8):236-240. doi: 10.3969/j.issn.1000-386x.2017.08.042
    [14]
    叶鹏, 王永芳, 夏雨蒙, 等. 一种融合深度基于灰度共生矩阵的感知模型[J]. 计算机科学,2019,46(3):92-96. doi: 10.11896/j.issn.1002-137X.2019.03.012

    YE Peng, WANG Yongfang, XIA Yumeng, et al. Perceptual model based on GLCM combined with depth[J]. Computer Science,2019,46(3):92-96. doi: 10.11896/j.issn.1002-137X.2019.03.012
    [15]
    杨德坤. 图像纹理特征的研究[D].山东: 山东师范大学, 2012: 16-19.

    YANG Dekun. Study on image texture features[D]. Shandong: Shandong Normal University, 2012: 16-19.
    [16]
    史文彬. 时间序列的相关性及信息熵分析[D].北京: 北京交通大学, 2016: 5-20.

    SHI Wenbin. The correlation and information entropy analysis of time series[D].Beijing: Beijing Jiaotong University, 2016: 5-20.
    [17]
    王玉兰, 王俊. 睡眠脑电的去趋势互相关分析[J]. 生物医学工程学杂志,2014,31(1):44-47. doi: 10.7507/1001-5515.20140009

    WANG Yulan, WANG Jun. Analysis of sleep electroencephalograph signal based on detrended cross-correlation[J]. Journal of Biomedical Engineering,2014,31(1):44-47. doi: 10.7507/1001-5515.20140009
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