International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference最新文献_第2页

Optimization analysis of ultra-precision flying-tool cutting machine for optical elements 光学元件超精密飞刀切割机的优化分析

International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference Pub Date : 2021-01-15 DOI: 10.1117/12.2586854

Shenggen Zhu, Fei-hu Zhang, Jinfeng Bai, Lingyu Zhao, Huiying Zhao

引用次数: 0

Phase space retrieval by iterative three-dimensional intensity projections 三维强度投影迭代相空间反演

International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference Pub Date : 2021-01-15 DOI: 10.1117/12.2586647

Runnan Zhang, Jiasong Sun, C. Zuo, Qian Chen

引用次数: 0

High-efficiency infrared image super-resolution algorithm based on a cascaded deep network 基于级联深度网络的红外图像高效超分辨算法

International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference Pub Date : 2021-01-15 DOI: 10.1117/12.2587499

Linfei Zhang, Yan Zou, Bowen Wang, Yan Hu, Yuzhen Zhang

{"title":"High-efficiency infrared image super-resolution algorithm based on a cascaded deep network","authors":"Linfei Zhang, Yan Zou, Bowen Wang, Yan Hu, Yuzhen Zhang","doi":"10.1117/12.2587499","DOIUrl":"https://doi.org/10.1117/12.2587499","url":null,"abstract":"Single image super-resolution (SISR) is a notoriously challenging ill-posed problem that aims to obtain a high-resolution output from one of its low-resolution versions. Recently, powerful deep learning algorithms have been applied to SISR and have achieved state-of-the-art performance. In this paper, a high-efficiency infrared image super-resolution algorithm based on a cascaded deep network is proposed. In this method, the low-resolution infrared image is directly processed without the preprocessing of bicubic interpolation up-sampling that can reduce the complexity of the network and the amount of computation. The network structure consists of two layers of the network. The sub-pixel convolution in each layer can enlarge the image size by twice and make the input image size to reach the final high-resolution image size. Besides, we utilize multi-scale feature extraction blocks to extract features from the same feature image by using multiple convolution kernels of different sizes, which makes the feature image information more abundant. The experimental results show that the test speed of each image in our network is 0.046 seconds, which manifests our proposed algorithm has high efficiency of infrared image super-resolution.","PeriodicalId":370739,"journal":{"name":"International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123555494","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

Modeling and simulation analysis of a non-line-of-sight infrared laser imaging system 非视距红外激光成像系统建模与仿真分析

International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference Pub Date : 2021-01-15 DOI: 10.1117/12.2585336

J. Tan, Xiuqin Su, Kaidi Wang, Jingyao Wu

{"title":"Modeling and simulation analysis of a non-line-of-sight infrared laser imaging system","authors":"J. Tan, Xiuqin Su, Kaidi Wang, Jingyao Wu","doi":"10.1117/12.2585336","DOIUrl":"https://doi.org/10.1117/12.2585336","url":null,"abstract":"Non-line-of-sight (NLOS) imaging technology is to ‘see’ the target out of sight, such as an object around a corner or hidden by some shelters. However, due to constraints of device definition and computing load, NLOS system is usually expensive and requires hidden objects with special material and simple shape. Besides, imaging space of system is limited. We perform a series of simulation with 1550nm infrared laser to expand the application field and improve the performance of NLOS system. Based on math and physical properties, main experimental components are modeled and data acquisition process is completed first. Then, the ellipsoid inversion algorithm is used to reconstruct the hidden space and imaging results are obtained. Finally, multiple series of system parameters are set and their influence on imaging results is analyzed. Results demonstrate that echo signal intensity after multiple reflections provides adequate information to reconstruct the geometry of a hidden object. However, the number of laser scanning position, resolution of detector, voxel division and location of the scanning area will all have a critical influence on NLOS imaging results.","PeriodicalId":370739,"journal":{"name":"International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference","volume":"319 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122435988","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

Software design for image stitching, depth of field expansion and auto-focusing operation on intelligent microscopy system based on software-driven hardware 基于软件驱动硬件的智能显微系统图像拼接、景深扩展和自动对焦操作的软件设计

International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference Pub Date : 2021-01-15 DOI: 10.1117/12.2587649

Li Chen, Yuzhen Zhang, Qian Chen

{"title":"Software design for image stitching, depth of field expansion and auto-focusing operation on intelligent microscopy system based on software-driven hardware","authors":"Li Chen, Yuzhen Zhang, Qian Chen","doi":"10.1117/12.2587649","DOIUrl":"https://doi.org/10.1117/12.2587649","url":null,"abstract":"In the field of microscopic imaging, obtaining high-resolution images with a large field of view and depth of field has important research significance. However, as the numerical aperture increases, high lateral resolution cannot be balanced with large field of view and high longitudinal resolution. In order to solve this contradiction, this paper proposes a microscopic system design based on the cooperation of software and hardware. In the VS environment, the Qt development framework is used for system development, and the software is used to drive the movement of the platform and the camera to capture images then the image fusion is performed on the computer side. Aiming at the contradiction between resolution and field of view, this system adopts image registration and image fusion algorithm based on phase correlation method; for the conflict between resolution and depth of field, this system adopts image fusion algorithm based on minimum brightness; the auto focus function adapts variable step traversal method to locate the focus surface. The microscopy system equipped with the above functions can efficiently realize the acquisition of high-resolution images with large field of view and large depth of field, making computational microscopy imaging analysis more intelligent and automated.","PeriodicalId":370739,"journal":{"name":"International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128757953","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

A fiber Bragg grating accelerometer based on corrugated diaphragm 一种基于波纹膜片的光纤光栅加速度计

International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference Pub Date : 2021-01-15 DOI: 10.1117/12.2584693

Xiaorui Li, Dakuan. Yu, Xiaoyang Fan, Wei-jie Ding, Yiwei Cheng, Qinpeng Liu, X. Qiao

引用次数: 1

Non-destructive detection method based on two-channel coplanar capacitive sensor 基于双通道共面电容式传感器的无损检测方法

International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference Pub Date : 2021-01-15 DOI: 10.1117/12.2586777

Heming Gao, Hang Long, S. Zhong

{"title":"Non-destructive detection method based on two-channel coplanar capacitive sensor","authors":"Heming Gao, Hang Long, S. Zhong","doi":"10.1117/12.2586777","DOIUrl":"https://doi.org/10.1117/12.2586777","url":null,"abstract":"To overcome the shortcomings of the existing rectangular electrode coplanar capacitive sensor used in the non-destructive detection, such as poor adaptability to the uneven distribution of medium, small dynamic range and low sensitivity, a two channel coplanar capacitive sensor with triangular electrode is proposed, and a method of applying it to non-destructive detection is discussed. Firstly, the sensor structure and mathematical model of the novel coplanar capacitive sensor is established, and the sensor related performance indexes are analyzed and defined. By establishing a three-dimensional simulation model of the sensor, the influence of sensor structure parameters such as working electrode, shielding electrode, protective electrode and substrate thickness on its performance indexes is systematically analyzed. Through studying the correspondence between different performance indexes and structural parameters, the linear relationship between the penetration depth of sensor and the electrode structure parameters is established. Finally, experiments are conducted to evaluate its performance on non-destructive detection.","PeriodicalId":370739,"journal":{"name":"International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116664799","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

Quantitative weak phase approximation analysis of quantitative phase imaging based on asymmetric illumination 基于非对称光照的定量相位成像的定量弱相位近似分析

International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference Pub Date : 2021-01-15 DOI: 10.1117/12.2587709

Yao Fan, Jiasong Sun, C. Zuo, Qian Chen

{"title":"Quantitative weak phase approximation analysis of quantitative phase imaging based on asymmetric illumination","authors":"Yao Fan, Jiasong Sun, C. Zuo, Qian Chen","doi":"10.1117/12.2587709","DOIUrl":"https://doi.org/10.1117/12.2587709","url":null,"abstract":"Partial coherent imaging, which provides high robustness and twice the imaging resolution of the coherent diffraction limit, has become a hot research method in quantitative phase imaging. Asymmetric illumination is one of the most common methods to generate phase contrast for weakly absorbed samples. By establishing a strict intensity-phase model, the quantitative phase distribution of the sample is then obtained by inverse algorithm. In order to linearize the imaging process, weak phase approximation, which imposes restrictions of small value phase on sample, is introduced into the partially coherent imaging model to separate the sample absorption and phase. However, the weak phase approximation introduces an uncertain phase loss in quantitative phase imaging, especially for samples with a large phase. In this paper, we investigate the quantitative definition weak phase approximation for partial coherent quantitative phase imaging under asymmetric illumination by simulations. According to the simulation results, we find that the reconstruction accuracy of the weak phase approximation is not only determined by the absolute phase value of the sample, but also a effected by the illumination aperture. Furthermore, a quantitative definition of the weak phase approximation is given to provide a basis for the phase reconstruction accuracy for quantitative phase imaging based on asymmetric illumination.","PeriodicalId":370739,"journal":{"name":"International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131965921","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

A simplified imaging model of bi-telecentric lenses under Scheimpflug condition and its calibration 双远心透镜在Scheimpflug条件下的简化成像模型及其标定

International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference Pub Date : 2021-01-15 DOI: 10.1117/12.2586423

Yan Hu, Zhongwei Liang, Qian Chen, Shijie Feng, C. Zuo

引用次数: 1

Analysis on effect of filling glue between the frame and lens with small aperture 小孔径镜架与镜头间填充胶的效果分析

International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference Pub Date : 2021-01-15 DOI: 10.1117/12.2584978

Yang Song, Jing Ye, Wenyi Chai, Nanqing Chu, Yang Xu, Yongming Hu

引用次数: 0