Sixteenth National Conference on Laser Technology and Optoelectronics最新文献_第2页

Blood identification of NIR spectroscopy based on BP neural network combined with particle swarm optimization 基于BP神经网络结合粒子群优化的近红外光谱血液识别

Sixteenth National Conference on Laser Technology and Optoelectronics Pub Date : 2021-08-31 DOI: 10.1117/12.2602388

Z. Ren, Tao Liu

{"title":"Blood identification of NIR spectroscopy based on BP neural network combined with particle swarm optimization","authors":"Z. Ren, Tao Liu","doi":"10.1117/12.2602388","DOIUrl":"https://doi.org/10.1117/12.2602388","url":null,"abstract":"Since the disadvantages of destructive and high cost for the traditional detection methods, a non-invasive identification method based on near infrared spectroscopy was used in this paper. The near infrared spectra of 120 groups of training blood samples and 30 groups of test samples were obtained from 4000cm-1 to 10000cm-1 for four kinds of animal blood and two kinds of fake blood. The classification and identification of blood can’t be easily achieved because of the near infrared spectra overlapping. To accurately identify the different kinds of the blood, back propagation (BP) neural network was used to establish the classification model. The spectra in full wavelengths were used as the input data, and 1, 2, 3, 4, 5, 6 were used to label different blood. Based on the training of 120 groups of training blood samples, the correct rate of blood identification for 30 groups of test samples are 66.7%. To further improve the correct rate, the weights of BP neural network were optimized by the particle swarm optimization (PSO). The effects of neurons number, learn rate factor, iteration times, and training times on the correct rate and mean square error for the identification of blood based on BP-PSO algorithm were investigated. Under the optimized parameters, the correct rate was improved to 96.7%.","PeriodicalId":330466,"journal":{"name":"Sixteenth National Conference on Laser Technology and Optoelectronics","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127613028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fourteen-core dual-mode fiber with low bending loss and large mode area 14芯双模光纤，弯曲损耗低，模面积大

Sixteenth National Conference on Laser Technology and Optoelectronics Pub Date : 2021-08-31 DOI: 10.1117/12.2603122

X. Qi, Yang Yu, Yudong Lian, Yulei Wang, Zhiwei Lu

引用次数: 0

Multilevel filtering image denoising algorithm based on edge information fusion 基于边缘信息融合的多级滤波图像去噪算法

Sixteenth National Conference on Laser Technology and Optoelectronics Pub Date : 2021-08-31 DOI: 10.1117/12.2601816

Xin Zhang, Jianfeng Sun, Peng Jiang, Xin Zhou, Changrui Qiu, Yinbo Zhang, Zhang Hailong

{"title":"Multilevel filtering image denoising algorithm based on edge information fusion","authors":"Xin Zhang, Jianfeng Sun, Peng Jiang, Xin Zhou, Changrui Qiu, Yinbo Zhang, Zhang Hailong","doi":"10.1117/12.2601816","DOIUrl":"https://doi.org/10.1117/12.2601816","url":null,"abstract":"Edges are critical important for the visual appearance of images. The traditional denoising algorithms are difficult to preserve the edges of the image while removing the noise of ICCD sensing image. At the same time, it is difficult to eliminate the problems of image darkness and low resolution caused by uneven illumination. This paper proposes a multilevel filtering image denoising algorithm based on edge information fusion. The target edges detection of the image after non-local means (NL-means) filtering is carried out based on the eight-direction Sobel operator. In order to filter the false edge points and residual noise, an adaptive threshold is determined according to the mean and variance of the eight neighborhood pixels of the detected pixel. Meanwhile, homomorphic filtering is used to enhance the image contrast and uniformity. By comparing the pixel values of the edge image and the homomorphic filtered image, the final denoised image is obtained by fusing the two images. The results indicate that, compared with the traditional algorithms, the edge preserving ability of the proposed algorithm is improved by more than 20%, and the denoising ability is improved by 63.5% for building target. For specific targets (vehicle), the results demonstrate that the proposed algorithm have the maximum edge preserving index and contrast, and the minimum non-uniformity. This algorithm lays a foundation for target segmentation and recognition.","PeriodicalId":330466,"journal":{"name":"Sixteenth National Conference on Laser Technology and Optoelectronics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133805279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial characteristics of nonlinear Thomson scattering from tightly focused single-cycle laser pulse with varied initial phases 不同初始相位紧聚焦单周期激光脉冲非线性汤姆逊散射的空间特性

Sixteenth National Conference on Laser Technology and Optoelectronics Pub Date : 2021-08-31 DOI: 10.1117/12.2600757

Yiqiu Wang, J. Zhuang, Qinyan Zhou, Yu Cai, Youwei Tian

{"title":"Spatial characteristics of nonlinear Thomson scattering from tightly focused single-cycle laser pulse with varied initial phases","authors":"Yiqiu Wang, J. Zhuang, Qinyan Zhou, Yu Cai, Youwei Tian","doi":"10.1117/12.2600757","DOIUrl":"https://doi.org/10.1117/12.2600757","url":null,"abstract":"Nonlinear Thomson scattering in intense (𝑎0 = 6) single-cycle (𝐿0 = 1𝜇𝑚) Gaussian laser pulse is investigated theoretically and numerically that demonstrates varied spatial characteristics in the tightly focused (𝑏0 = 3𝜇𝑚) regime. In the above ultrashort laser pulse, the electron has the potential to radiate single attosecond pulse with almost infinite SNR which is highly robust to varied initial phases. Furthermore, a novel symmetry degradation phenomenon in the tightly focused domain is firstly discovered, where the fourfold symmetric spatial radiation pattern in non-tightly focused pulses respectively degrades to plane/linear symmetry radiation pattern in the spherical projected/polarized plane. While spatial radiation is highly sensitive to initial phases, we remarkably find that the difference of peak radiation’s polar angles 𝜙m exactly equals to that of incident laser’s initial phases 𝜙0, indicating the initial phase has phase/angle shift effect on the electron’s spatial motion and radiation. With numerical analysis, the sampling results demonstrate that peak radiation’s polar angle 𝜃m and the difference 𝜙m = 𝜙0 are constant regardless of initial phases.","PeriodicalId":330466,"journal":{"name":"Sixteenth National Conference on Laser Technology and Optoelectronics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115626183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Front Matter: Volume 11907 封面:第11907卷

Sixteenth National Conference on Laser Technology and Optoelectronics Pub Date : 2021-08-31 DOI: 10.1117/12.2605291

引用次数: 0

Experimental study of surface quality during coaxial water-jet assisted nanosecond laser drilling 同轴水射流辅助纳秒激光钻孔表面质量实验研究

Sixteenth National Conference on Laser Technology and Optoelectronics Pub Date : 2021-08-31 DOI: 10.1117/12.2603059

Chen Yuan, Hai-tao Wang, Jiajia Wang, Bin Wang, Wenwu Zhang

引用次数: 0

2H-MoTe2-based passively Q-switched ytterbium-doped fiber laser 基于2h - mote2的被动调q掺镱光纤激光器

Sixteenth National Conference on Laser Technology and Optoelectronics Pub Date : 2021-08-31 DOI: 10.1117/12.2603149

Lulu Zhang, Youshuo Cui, Zikai Dong, J. Tian, Yanrong Song

引用次数: 0

Estimation of atmospheric turbulence intensity based on deep learning 基于深度学习的大气湍流强度估计

Sixteenth National Conference on Laser Technology and Optoelectronics Pub Date : 2021-08-31 DOI: 10.1117/12.2603106

Shengjie Ma, Shiqi Hao, Qingsong Zhao, Chenlu Xu

引用次数: 1

Nonlinear dynamics in direct-connected twin circular-sided square microcavity lasers with mutual optical injection 相互光注入直连双圆边方形微腔激光器的非线性动力学

Sixteenth National Conference on Laser Technology and Optoelectronics Pub Date : 2021-08-31 DOI: 10.1117/12.2603026

Ke Yang, Yuede Yang, Youzeng Hao, Jiliang Wu, Jia-Chen Liu, J. Xiao, Yongzhen Huang

引用次数: 0

Experimental research on pedestrian detection using LiDAR 激光雷达行人检测实验研究

Sixteenth National Conference on Laser Technology and Optoelectronics Pub Date : 2021-08-31 DOI: 10.1117/12.2603162

Chunxiao Wang, Zhu Jingguo, Tianpeng Xie, Can Zhang, Zhengyu Zhang, Yuyang Zhao

引用次数: 0