Pub Date : 2020-08-31DOI: 10.12086/OEE.2020.200109
Wang Pengpeng, Xin Hongwei, Zhu Junqing, W. Yongxian, Xu Yanjun, C. Changzheng
In order to solve the problem that the mass and the surface figure accuracy of the space reflective mirror are often contradictory in the lightweight design process, a structural optimization design of a lightweight rectangular reflective mirror of an off-axis three-reflection optical system is performed. In this study, a lightweight structure based on the center support of SiC materials is proposed. At the same time, a multi-objective optimization method is introduced. With the RMS value and Mass as the optimization targets at the same time, a mirror optimal structure model is obtained with a mass of 2.32 kg. Compared with the solid mirror, the lightweight ratio is 73.8%. Then the mirror subassembly is designed and the integrated performance of it is simulated. It shows that the RMS value of the mirror reaches respectively 2.5 nm, 2.2 nm and 7.3 nm when gravity load is applied in the directions of X, Y and Z axes. Furthermore, the RMS value is 3.2 nm when the mirror subassembly is under the load condition of uniform temperature rise of 4 ℃, which is far less than the requirement of RMS≤λ/50(λ=632.8 nm). Therefore the data meets the design requirements.
{"title":"Structural optimization design of lightweight rectangular reflective mirror","authors":"Wang Pengpeng, Xin Hongwei, Zhu Junqing, W. Yongxian, Xu Yanjun, C. Changzheng","doi":"10.12086/OEE.2020.200109","DOIUrl":"https://doi.org/10.12086/OEE.2020.200109","url":null,"abstract":"In order to solve the problem that the mass and the surface figure accuracy of the space reflective mirror are often contradictory in the lightweight design process, a structural optimization design of a lightweight rectangular reflective mirror of an off-axis three-reflection optical system is performed. In this study, a lightweight structure based on the center support of SiC materials is proposed. At the same time, a multi-objective optimization method is introduced. With the RMS value and Mass as the optimization targets at the same time, a mirror optimal structure model is obtained with a mass of 2.32 kg. Compared with the solid mirror, the lightweight ratio is 73.8%. Then the mirror subassembly is designed and the integrated performance of it is simulated. It shows that the RMS value of the mirror reaches respectively 2.5 nm, 2.2 nm and 7.3 nm when gravity load is applied in the directions of X, Y and Z axes. Furthermore, the RMS value is 3.2 nm when the mirror subassembly is under the load condition of uniform temperature rise of 4 ℃, which is far less than the requirement of RMS≤λ/50(λ=632.8 nm). Therefore the data meets the design requirements.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82496051","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}
Pub Date : 2020-08-31DOI: 10.12086/OEE.2020.200205
Li Ming, Wu Jieli, Wu Yongqian, Xu Yan, Zhang Dongni, Hong Zhen, Yang Fugui, W. Yongjian
This article reviews on the fabrication advancement of X-ray reflect mirror fabrication in terms of technical requirements, fabrication and metrology development. Synchrotron radiation source, as a revolutionary light source, provides one of the most high-performance X-ray for scientific research, where reflect mirror plays an essential role in X-ray beam focusing. The short wavelength of X-ray demands reflecting photons only at a grazing angle of incidence on the extremely high-precision and smooth surface. Fabrication of such mirrors requires highly specialized equipment and technology that only a few foreign optic manufacturers possess, whereas manufacturers in China is laggard in this area. It is imperative to develop fabrication capability domestically as two synchrotron radiation facilities are under construction and several more projects are about to launch in the near future in China.
{"title":"A review on the fabrication technology of X-ray reflector","authors":"Li Ming, Wu Jieli, Wu Yongqian, Xu Yan, Zhang Dongni, Hong Zhen, Yang Fugui, W. Yongjian","doi":"10.12086/OEE.2020.200205","DOIUrl":"https://doi.org/10.12086/OEE.2020.200205","url":null,"abstract":"This article reviews on the fabrication advancement of X-ray reflect mirror fabrication in terms of technical requirements, fabrication and metrology development. Synchrotron radiation source, as a revolutionary light source, provides one of the most high-performance X-ray for scientific research, where reflect mirror plays an essential role in X-ray beam focusing. The short wavelength of X-ray demands reflecting photons only at a grazing angle of incidence on the extremely high-precision and smooth surface. Fabrication of such mirrors requires highly specialized equipment and technology that only a few foreign optic manufacturers possess, whereas manufacturers in China is laggard in this area. It is imperative to develop fabrication capability domestically as two synchrotron radiation facilities are under construction and several more projects are about to launch in the near future in China.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77358705","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}
Pub Date : 2020-08-31DOI: 10.12086/OEE.2020.190551
习兴华, 张超杰, 胡海飞, 关英俊
Passive hydraulic support units (PHSUs) are frequently used in the in-situ fabrication and testing (in-situ support). However, the difference in PHSUs' stiffness will affect the mirror surface figure, especially for those thin meniscus mirrors. In order to solve this problem, the joint optimization method of layout, stiffness and active correction is studied. Firstly, for the difference of PHUS' stiffness, a hierarchical layout optimization method for support stiffness and support position is proposed to obtain the initial optimization solution of the support system. Then, the mode calibration method and the least square method is used for active correction of support system to obtain the final optimized solution of the mirror surface figure. Finally, the effectiveness of the method is verified by a numerical simulation experiment with specific cases. The results show that, for 4 m thin meniscus mirror, after layout optimization, with the hydraulic passive support system, the root mean square (RMS) of the mirror surface errors of 60 point axial support system is reduced from 150.6 nm to 32.9 nm, and the RMS value of the mirror surface errors of 78 point axial support system is reduced from 45.2 nm to 22.6 nm. The optimization effect is remarkable. After active correction, the RMS value of the mirror surface errors of 60 point axial support system is 14.6 nm, and it is 6.9 nm for 78 point axial support system. The requirement of the RMS value of the mirror surface error is less than λ/40 (λ=632.8 nm). The support systems meet the requirement. Finally, the 60 point axial support system was selected. Through the joint optimization of layout, stiffness and active correction for supporting points, it can greatly increase the applicability, flexibility and reduce the difficulty of implementation for the in-situ support system.
{"title":"超大口径弯月镜支撑点布局-刚度-校正力联合优化","authors":"习兴华, 张超杰, 胡海飞, 关英俊","doi":"10.12086/OEE.2020.190551","DOIUrl":"https://doi.org/10.12086/OEE.2020.190551","url":null,"abstract":"Passive hydraulic support units (PHSUs) are frequently used in the in-situ fabrication and testing (in-situ support). However, the difference in PHSUs' stiffness will affect the mirror surface figure, especially for those thin meniscus mirrors. In order to solve this problem, the joint optimization method of layout, stiffness and active correction is studied. Firstly, for the difference of PHUS' stiffness, a hierarchical layout optimization method for support stiffness and support position is proposed to obtain the initial optimization solution of the support system. Then, the mode calibration method and the least square method is used for active correction of support system to obtain the final optimized solution of the mirror surface figure. Finally, the effectiveness of the method is verified by a numerical simulation experiment with specific cases. The results show that, for 4 m thin meniscus mirror, after layout optimization, with the hydraulic passive support system, the root mean square (RMS) of the mirror surface errors of 60 point axial support system is reduced from 150.6 nm to 32.9 nm, and the RMS value of the mirror surface errors of 78 point axial support system is reduced from 45.2 nm to 22.6 nm. The optimization effect is remarkable. After active correction, the RMS value of the mirror surface errors of 60 point axial support system is 14.6 nm, and it is 6.9 nm for 78 point axial support system. The requirement of the RMS value of the mirror surface error is less than λ/40 (λ=632.8 nm). The support systems meet the requirement. Finally, the 60 point axial support system was selected. Through the joint optimization of layout, stiffness and active correction for supporting points, it can greatly increase the applicability, flexibility and reduce the difficulty of implementation for the in-situ support system.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88060406","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}
Pub Date : 2020-08-31DOI: 10.12086/OEE.2020.190068
Xiao Shilei, Li Bincheng
Residual stress is an important performance indicator of optics, which is of great significance to the fabrications and applications of optical components. Residual stress measurement methods of optics can be summed up into two categories: methods based on the strain measurement and on the stress induced birefringence measurement, respectively. The strain based methods, which are built upon crystal dynamics and elastic mechanics, including X-ray diffraction (XRD), Stoney curvature method, and micro-Raman spectroscopic method, are well developed and widely used. Methods based on the measurements of birefringence phase retardation induced by residual stress, including digital photoelasticity method, photoelasticitic modulator (PEM) method and polarization-dependent cavity ring-down method, show a higher precision. The principles, measurement precisions and application scenarios of these residual stress measurement methods are summarized in this overview. Comparisons between the performances of these methods are performed and correlations between them are analyzed in detail.
{"title":"Residual stress measurement methods of optics","authors":"Xiao Shilei, Li Bincheng","doi":"10.12086/OEE.2020.190068","DOIUrl":"https://doi.org/10.12086/OEE.2020.190068","url":null,"abstract":"Residual stress is an important performance indicator of optics, which is of great significance to the fabrications and applications of optical components. Residual stress measurement methods of optics can be summed up into two categories: methods based on the strain measurement and on the stress induced birefringence measurement, respectively. The strain based methods, which are built upon crystal dynamics and elastic mechanics, including X-ray diffraction (XRD), Stoney curvature method, and micro-Raman spectroscopic method, are well developed and widely used. Methods based on the measurements of birefringence phase retardation induced by residual stress, including digital photoelasticity method, photoelasticitic modulator (PEM) method and polarization-dependent cavity ring-down method, show a higher precision. The principles, measurement precisions and application scenarios of these residual stress measurement methods are summarized in this overview. Comparisons between the performances of these methods are performed and correlations between them are analyzed in detail.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82796776","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}
Pub Date : 2020-08-31DOI: 10.12086/OEE.2020.200135
F. Fei, Xu Xi, X. Qiao, Wang Jian, Zhong Bo, Xie Ruiqing, L. Xiangyang, Chen Xianhua, Wang Shengfei, Hou Jing, Deng Wenhui, An Chenhui, Zhou Lian, Zhao Shijie, Li Defeng, Zhu Yujie
The construction of high-power solid-state laser facility for inertial confinement fusion requires to precisely control the full-spatial frequency error, and realize efficient mass-manufacturing of large-aperture optics. This review summarizes the recent critical progress in manufacturing of large-aperture optics in high-power laser facility. It also emphasizes the technologies such as single point diamond fly-cutting, and aspheric ultra-precision grinding, as well as deterministic polishing, based on the deterministic ultra-precision process manufacturing method. In addition, the application status of these key technologies in the mass-manufacturing chain was stated specifically.
{"title":"Progress on ultra precision manufacturing technology of large-aperture high-power laser optics","authors":"F. Fei, Xu Xi, X. Qiao, Wang Jian, Zhong Bo, Xie Ruiqing, L. Xiangyang, Chen Xianhua, Wang Shengfei, Hou Jing, Deng Wenhui, An Chenhui, Zhou Lian, Zhao Shijie, Li Defeng, Zhu Yujie","doi":"10.12086/OEE.2020.200135","DOIUrl":"https://doi.org/10.12086/OEE.2020.200135","url":null,"abstract":"The construction of high-power solid-state laser facility for inertial confinement fusion requires to precisely control the full-spatial frequency error, and realize efficient mass-manufacturing of large-aperture optics. This review summarizes the recent critical progress in manufacturing of large-aperture optics in high-power laser facility. It also emphasizes the technologies such as single point diamond fly-cutting, and aspheric ultra-precision grinding, as well as deterministic polishing, based on the deterministic ultra-precision process manufacturing method. In addition, the application status of these key technologies in the mass-manufacturing chain was stated specifically.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81578214","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}
Pub Date : 2020-07-30DOI: 10.12086/OEE.2020.190580
Chen Peng, Cai Xuanwei, Zhao Dongdong, Liang Ronghua, Guo Xinxin
Side-scan sonar (SSS) is an electronic device that utilizes the propagation characteristics of sound waves under water to complete underwater detection. Because the SSS produces images and maps according to the intensity of acoustic echo, speckle noise will be inevitably involved. A speckle denoising method based on block-matching and 3D filtering (BM3D) is proposed to filter the multiplicative speckle noise in SSS images. First, the SSS image is transformed by power and logarithm. The wavelet transform is used to estimate the general noisy level of the polluted image. Second, the parameters of the BM3D algorithm are updated according to the noise estimation results of each local patch. At last, after comparing the general noise estimation and the local noise estimation, the proposed algorithm chooses the best estimation to filter every patch separately to solve the problem that the noise is not evenly distributed. The experimental results show that the improved BM3D algorithm can effectively reduce the speckle noise in SSS images and obtain good visual effects. The Equivalent Number of Looks of the proposed algorithm is at least 6.83% higher, the Speckle Suppression Index is lower than traditional algorithm, and the Speckle Suppression and Mean Preservation Index is reduced by at least 3.30%. This method is mainly used for sonar image noise reduction, and has certain practical values for ultrasonic, radar or OCT images polluted by speckle noise.
{"title":"Despeckling for side-scan sonar images based on adaptive block-matching and 3D filtering","authors":"Chen Peng, Cai Xuanwei, Zhao Dongdong, Liang Ronghua, Guo Xinxin","doi":"10.12086/OEE.2020.190580","DOIUrl":"https://doi.org/10.12086/OEE.2020.190580","url":null,"abstract":"Side-scan sonar (SSS) is an electronic device that utilizes the propagation characteristics of sound waves under water to complete underwater detection. Because the SSS produces images and maps according to the intensity of acoustic echo, speckle noise will be inevitably involved. A speckle denoising method based on block-matching and 3D filtering (BM3D) is proposed to filter the multiplicative speckle noise in SSS images. First, the SSS image is transformed by power and logarithm. The wavelet transform is used to estimate the general noisy level of the polluted image. Second, the parameters of the BM3D algorithm are updated according to the noise estimation results of each local patch. At last, after comparing the general noise estimation and the local noise estimation, the proposed algorithm chooses the best estimation to filter every patch separately to solve the problem that the noise is not evenly distributed. The experimental results show that the improved BM3D algorithm can effectively reduce the speckle noise in SSS images and obtain good visual effects. The Equivalent Number of Looks of the proposed algorithm is at least 6.83% higher, the Speckle Suppression Index is lower than traditional algorithm, and the Speckle Suppression and Mean Preservation Index is reduced by at least 3.30%. This method is mainly used for sonar image noise reduction, and has certain practical values for ultrasonic, radar or OCT images polluted by speckle noise.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87698813","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}
Pub Date : 2020-07-30DOI: 10.12086/OEE.2020.190510
Liu Guoyou, Zhang Fengxv, Jiao Zhian
With the problem of difficulty that a single filter to adapt to various complex changes in the tracking process, an adaptive multi-filter target tracking algorithm based on the efficient convolution operators for tracking is proposed. Spatial-temporal regularized filter, the consistency check filter and the correlation filter in the efficient convolution operator tracker, convolve with target features respectively, which obtains three detection scores. The training method of spatial-temporal regularized filter is to introduce temporal regularization into loss function. The consistency check filter is a filter that uses current filter to track the target of previous several frames and updates only when the error of forward and backward position is less than the threshold. Target position is estimated by the best filter detection score with the peak-to-side ratio is maximum. The improved algorithm is tested with the OTB-2015 dataset and UAV123 dataset. The experimental results show that the proposed algorithm can better adapt to the complex environment in tracking process, which has high precision and robustness.
{"title":"Adaptive multi-filter tracker based on efficient convolution operator","authors":"Liu Guoyou, Zhang Fengxv, Jiao Zhian","doi":"10.12086/OEE.2020.190510","DOIUrl":"https://doi.org/10.12086/OEE.2020.190510","url":null,"abstract":"With the problem of difficulty that a single filter to adapt to various complex changes in the tracking process, an adaptive multi-filter target tracking algorithm based on the efficient convolution operators for tracking is proposed. Spatial-temporal regularized filter, the consistency check filter and the correlation filter in the efficient convolution operator tracker, convolve with target features respectively, which obtains three detection scores. The training method of spatial-temporal regularized filter is to introduce temporal regularization into loss function. The consistency check filter is a filter that uses current filter to track the target of previous several frames and updates only when the error of forward and backward position is less than the threshold. Target position is estimated by the best filter detection score with the peak-to-side ratio is maximum. The improved algorithm is tested with the OTB-2015 dataset and UAV123 dataset. The experimental results show that the proposed algorithm can better adapt to the complex environment in tracking process, which has high precision and robustness.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80885775","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}
Pub Date : 2020-07-30DOI: 10.12086/OEE.2020.190342
Zhao Ziliang, Liu Jiazhen, Hu Zhen, Jia Yanhao, Wang Yue, Liang Qingwei, Zhao Zeyang, Liu Yangyi
The observation and recognition of sunspots is an important task of solar physics. By observing and analyzing sunspots, solar physicists are able to analyze and predict solar activities with higher accuracy. With the con-tinuous progress of observation instruments, solar full-disk image data amount is also on a rapid growth. In order to recognize and label sunspots quickly and accurately, a two-layer sunspot recognition model is proposed in this paper. The first layer model is based on deep learning model YOLO. In order to enhance the ability of YOLO to recognize small sunspots, the parameters of YOLO are optimized by using the k-means algorithm based on intersection-over-union. The final YOLO model can identify most large sunspots and sunspot groups, with only a few isolated small sunspots being unidentified. For the purpose of further improving recognition rate of small sunspots, the second layer model applies AGAST feature detection algorithm to specifically identify the missing small sunspots. The experimental results on SDO/HMI sunspot data set show that all kinds of sunspots can be recognized effectively with high recognition accuracy by using the model proposed in this paper, thus realizing the real-time sunspot detection task.
{"title":"A Hierarchical method for quick and automatic recognition of sunspots","authors":"Zhao Ziliang, Liu Jiazhen, Hu Zhen, Jia Yanhao, Wang Yue, Liang Qingwei, Zhao Zeyang, Liu Yangyi","doi":"10.12086/OEE.2020.190342","DOIUrl":"https://doi.org/10.12086/OEE.2020.190342","url":null,"abstract":"The observation and recognition of sunspots is an important task of solar physics. By observing and analyzing sunspots, solar physicists are able to analyze and predict solar activities with higher accuracy. With the con-tinuous progress of observation instruments, solar full-disk image data amount is also on a rapid growth. In order to recognize and label sunspots quickly and accurately, a two-layer sunspot recognition model is proposed in this paper. The first layer model is based on deep learning model YOLO. In order to enhance the ability of YOLO to recognize small sunspots, the parameters of YOLO are optimized by using the k-means algorithm based on intersection-over-union. The final YOLO model can identify most large sunspots and sunspot groups, with only a few isolated small sunspots being unidentified. For the purpose of further improving recognition rate of small sunspots, the second layer model applies AGAST feature detection algorithm to specifically identify the missing small sunspots. The experimental results on SDO/HMI sunspot data set show that all kinds of sunspots can be recognized effectively with high recognition accuracy by using the model proposed in this paper, thus realizing the real-time sunspot detection task.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73019392","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}
Pub Date : 2020-07-30DOI: 10.12086/OEE.2020.190565
Liu Hong, Zhai Changxin, Wen Yan-yan, Xinzhuo Lei, Du Zongyu
To solve the unevenness of distributions of optical illuminance and power in visible light communication system, a light source layout based on multi-population genetic algorithm is proposed. Taking 15 LED lamps as an example, the position coordinates were optimized under the fitness function related to variance of received power through the co-evolution of multi-populations. The simulation results on Matlab R2016a showed that, after being optimized, the distribution of power was evener intuitively, the variance of power reached 1.5744 dBm, the illuminance fell in a range between 889 lx and 1009 lx and the uniformity ratio of illuminance was 91.73%, all of which were better than those of the layout optimized by traditional genetic algorithm and the rectangular layout optimized by multi-population genetic algorithm. This experiment provides a feasible solution for optimizing the visible light communication system so that users can have a more comfortable communication trip in this system.
{"title":"An optimized light source layout model for visible light communication system","authors":"Liu Hong, Zhai Changxin, Wen Yan-yan, Xinzhuo Lei, Du Zongyu","doi":"10.12086/OEE.2020.190565","DOIUrl":"https://doi.org/10.12086/OEE.2020.190565","url":null,"abstract":"To solve the unevenness of distributions of optical illuminance and power in visible light communication system, a light source layout based on multi-population genetic algorithm is proposed. Taking 15 LED lamps as an example, the position coordinates were optimized under the fitness function related to variance of received power through the co-evolution of multi-populations. The simulation results on Matlab R2016a showed that, after being optimized, the distribution of power was evener intuitively, the variance of power reached 1.5744 dBm, the illuminance fell in a range between 889 lx and 1009 lx and the uniformity ratio of illuminance was 91.73%, all of which were better than those of the layout optimized by traditional genetic algorithm and the rectangular layout optimized by multi-population genetic algorithm. This experiment provides a feasible solution for optimizing the visible light communication system so that users can have a more comfortable communication trip in this system.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79046368","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}
Pub Date : 2020-07-30DOI: 10.12086/OEE.2020.190278
Yu Chenchen, Hou Zhiqiang, Yu Wangsheng, Pu Lei, Ma Sugang
At present, several mainstream algorithms using color name (CN) all adopt Principal Component Analysis (PCA) to process the feature. However, PCA assumes that the noise of input data must obey Gaussian distribution, which is a conspicuous defect. Aim to address this problem, in this paper, we take Robust Principal Component Analysis (Robust PCA) to process CN features. The method projects the original RGB color space to a robust color space–CN space, which means that the input image is stratified to 11 layers according to color name. Then, it processes the CN features by the Robust PCA, so that the mapped image information is concentrated on a few layers, retaining a great quantity of image information and filting out noise. The processed feature is used for Color-tracking frame at the standard benchmark OTB100, and we set up different layers to compare the performance differences of the algorithm. The experimental results show that the success rate increases by 1.0% and the accuracy increases by 0.9% at OTB100. The result illustrates that the Robust PCA method can better bring color name feature superiority into full play and improve the performance of the algorithm effectively.
目前几种主流的颜色名称(CN)算法都采用主成分分析(PCA)对特征进行处理。然而，主成分分析假设输入数据的噪声必须服从高斯分布，这是一个明显的缺陷。针对这一问题，本文采用鲁棒主成分分析(Robust Principal Component Analysis，简称Robust PCA)对CN特征进行处理。该方法将原始RGB色彩空间投影为鲁棒色彩空间- cn空间，即根据颜色名称将输入图像分层为11层。然后，通过鲁棒主成分分析对CN特征进行处理，使映射的图像信息集中在几层上，保留了大量的图像信息，滤除了噪声;将处理后的特征用于标准基准OTB100下的颜色跟踪帧，并设置不同的层来比较算法的性能差异。实验结果表明，在OTB100下，成功率提高了1.0%，准确率提高了0.9%。结果表明，鲁棒PCA方法能更好地发挥颜色名称特征的优势，有效地提高算法的性能。
{"title":"Visual tracking algorithm based on robust PCA","authors":"Yu Chenchen, Hou Zhiqiang, Yu Wangsheng, Pu Lei, Ma Sugang","doi":"10.12086/OEE.2020.190278","DOIUrl":"https://doi.org/10.12086/OEE.2020.190278","url":null,"abstract":"At present, several mainstream algorithms using color name (CN) all adopt Principal Component Analysis (PCA) to process the feature. However, PCA assumes that the noise of input data must obey Gaussian distribution, which is a conspicuous defect. Aim to address this problem, in this paper, we take Robust Principal Component Analysis (Robust PCA) to process CN features. The method projects the original RGB color space to a robust color space–CN space, which means that the input image is stratified to 11 layers according to color name. Then, it processes the CN features by the Robust PCA, so that the mapped image information is concentrated on a few layers, retaining a great quantity of image information and filting out noise. The processed feature is used for Color-tracking frame at the standard benchmark OTB100, and we set up different layers to compare the performance differences of the algorithm. The experimental results show that the success rate increases by 1.0% and the accuracy increases by 0.9% at OTB100. The result illustrates that the Robust PCA method can better bring color name feature superiority into full play and improve the performance of the algorithm effectively.","PeriodicalId":39552,"journal":{"name":"Guangdian Gongcheng/Opto-Electronic Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78788651","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}
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