2017

• Record 325 of
  
  Title:Design of flame detection video camera system based on DSP
  
  Author(s):Liu, Wen-Long(1); Li, Yun(1); Liu, Yong-Zheng(1); Kong, Liang(1)
  Source: Proceedings of SPIE - The International Society for Optical Engineering  Volume: 10462  Issue:   DOI: 10.1117/12.2283467  Published: 2017  
  Abstract:In order to alarm the fire and analyze the material burned, the high efficiency imaging system is designed to monitor the fire. The system selects the high performance CMOS image sensor, utilizing real-Time DSP with higher computing power, it is designed based on DSP C6748 by IIC serial port flame detectors video camera's registers, and the generated image data sent to DSP by VPIF interface, the image algorithm is transplanted to DSP, at last, the system will alarm the fire and output spectral characteristics of the burning material via Ethernet interface. This system completes algorithm hardware realization, and the algorithm can detect image in real-Time and extract the effect of spectral characteristics of burning material, so that the algorithm processing can speed up from minute level on the PC to the sub-second level. © 2017 SPIE.
  Accession Number: 20180404671107
• Record 326 of
  
  Title:Design and analysis of micro stress flexible support structure of reflector in all-day star tracker
  
  Author(s):Liu, Yang(1); Chen, Su(1); Wang, Lingguang(1); Geng, Bo(1); Wang, Hu(1); Liu, Jie(1)
  Source: Proceedings of SPIE - The International Society for Optical Engineering  Volume: 10256  Issue:   DOI: 10.1117/12.2257424  Published: 2017  
  Abstract:To reduce the surface deformation of a star tracker reflector in a complex and execrable environment, a micro stress flexible support structure was designed according to the circular optical reflector subassembly. By defining the thickness, width and radius as design variables, the flexible hinge in an circular reflector subassembly was optimized. Then, the surface figure precision, structural strength and dynamic stiffness of the reflector subassembly in the thermal-structural coupling state were analyzed with the finite element method. Simulation results show that the natural frequency of the reflector is enough, which has a sufficiently high dynamic stiffness. Both surface precision RMS of the reflector (8.34nm, 9.26nm) have reached the index requirements of the optical system(λ/10, λ=632.8nm) under gravity and uniform temperature change from -20°C to 65°C. The results show that the design for the micro stress flexible support structure is reasonable and feasible, and achieves the design goal. © 2017 SPIE.
  Accession Number: 20171703607656
• Record 327 of
  
  Title:Study on the key alignment technology of the catadioptric Optical system
  
  Author(s):Song, Chong(1); Fu, Xing(1); Fu, Xi-Hong(1); Kang, Xiao-Peng(1); Liu, Kai(1)
  Source: Proceedings of SPIE - The International Society for Optical Engineering  Volume: 10256  Issue:   DOI: 10.1117/12.2259815  Published: 2017  
  Abstract:Optical system alignment has a great influence on the whole system accuracy. In this paper, the processing of optical system alignment was mainly studied, the processing method of optics on the primary and secondary mirrors, front correction lens group and behind correction lens group with high precision centering lathe and internal focusing telescope. Then using the height indicator complete the system alignment of the primary mirror, secondary mirror, front correction group and behind correction group. Finally, based on the zygo interferometer detect the wavefront information. Using this alignment program for catadioptric optical system, the wavefront aberration of optical system, focal length, modulation transfer function (MTF) and other technical indicators have reached the requirements. © 2017 SPIE.
  Accession Number: 20171703607579
• Record 328 of
  
  Title:The pseudo-label scheme in breast tumor classification based on BI-RADS features
  
  Author(s):Zhang, Fan(1); Huang, Qinghua(1); Li, Xuelong(2)
  Source: Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017  Volume: 2018-January  Issue:   DOI: 10.1109/CISP-BMEI.2017.8302288  Published: July 2, 2017  
  Abstract:The proposed method employs the Breast Imaging Reporting and Data System (BI-RADS) feature to classify the breast tumor. Compared with the ultrasound breast tumor classification methods based on the image, the 'semantic gap' between the clinical feature and image feature is eliminated. In order to address the shortage of the labeled data, the pseudo-labeled scheme based on SVM is designed. The SVM classifier is trained by few labeled samples, and the hybrid dataset which contains the pseudo-labeled sample marked by SVM and few labeled samples is adopted to train the decision tree. 500 ultrasound breast tumor cases are collected to evaluate the proposed method. According to the result of the experiment, compared with the decision tree trained by the labeled dataset only, the accuracy of decision tree train by hybrid dataset improves 2.65%, the NPV improves 7.00%, and the Sensitivity increases 3.30%. © 2017 IEEE.
  Accession Number: 20182205250779
• Record 329 of
  
  Title:The application of BI-RADS feature in the ultrasound breast tumor CAD system
  
  Author(s):Zhang, Fan(1); Huang, Qinghua(1); Li, Xuelong(2)
  Source: Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017  Volume: 2018-January  Issue:   DOI: 10.1109/CISP-BMEI.2017.8302276  Published: July 2, 2017  
  Abstract:The breast cancer is one of the most common diseases in women. This paper proposed a breast tumor computer aided diagnosis (CAD) system utilized the Breast Imaging Reporting and Data System (BI-RADS) features. The BI-RADS feature scoring scheme is designed to transform the BI-RADS report to a vector. And the decision tree algorithm is adopted to classify the vector. Compared with previous CAD system, the proposed system is easier to be understood by the clinician. Without the image preprocessing, the proposed system can be applied in different ultrasound machines. There are 440 samples collected from the Cancer Center of Sun Yat-sen University. In the experiment, the five-fold cross validation is employed to evaluate the proposed system. The result shows that the performance of the proposed system is better than the CAD method which takes the BI-RADS feature as a guide to extract features from images. The average accuracy achieves 89.38%, specificity is 90.74%, sensitivity is 86.18%, positive predictive value (PPV) reaches 93.57% and negative predictive value (NVP) is 79.82%. © 2017 IEEE.
  Accession Number: 20182205251253
• Record 330 of
  
  Title:Learning Instance Correlation Functions for Multilabel Classification
  
  Author(s):Liu, Huawen(1); Li, Xuelong(2); Zhang, Shichao(3)
  Source: IEEE Transactions on Cybernetics  Volume: 47  Issue: 2  DOI: 10.1109/TCYB.2016.2519683  Published: February 2017  
  Abstract:Multilabel learning has a wide range of potential applications in reality. It attracts a great deal of attention during the past years and has been extensively studied in many fields including image annotation and text categorization. Although many efforts have been made for multilabel learning, there are two challenging issues remaining, i.e., how to exploit the correlations and how to tackle the high-dimensional problems of multilabel data. In this paper, an effective algorithm is developed for multilabel classification with utilizing those data that are relevant to the targets. The key is the construction of a coefficient-based mapping between training and test instances, where the mapping relationship exploits the correlations among the instances, rather than the explicit relationship between the variables and the class labels of data. Further, a constraint, 1-norm penalty, is performed on the mapping relationship to make the model sparse, weakening the impacts of noisy data. Our empirical study on eight public datasets shows that the proposed method is more effective in comparing with the state-of-the-art multilabel classifiers. © 2013 IEEE.
  Accession Number: 20160801977730
• Record 331 of
  
  Title:Optical pulling nanoparticles with nonparaxial accelerating beams
  
  Author(s):Han, Guoxia(1,2); Huang, Zhangxiang(1,2); An, Sha(2); Peng, Tong(2); Wang, Meirong(3); Yao, Baoli(2); Zhang, Peng(2)
  Source: 2017 Opto-Electronics and Communications Conference, OECC 2017 and Photonics Global Conference, PGC 2017  Volume: 2017-November  Issue:   DOI: 10.1109/OECC.2017.8114892  Published: November 17, 2017  
  Abstract:We propose and theoretically demonstrate the generation of optical traction of nanoparticles through nonparaxial accelerating beams. A convenient optical pulling and manipulating of nanoparticles along curved trajectory is achieved, and the method to determine the conditions of optical traction is also presented. © 2017 IEEE.
  Accession Number: 20182405306848
• Record 332 of
  
  Title:Characteristics of the spectral lines of immersion gratings
  
  Author(s):Tang, Qian(1,2,3); Guo, Li-Xin(1); Zhao, Bao-Chang(4)
  Source: Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves  Volume: 36  Issue: 5  DOI: 10.11972/j.issn.1001-9014.2017.05.010  Published: October 1, 2017  
  Abstract:Immersion gratings are typically used in the infrared spectral band in which optical materials with high refractive index. Some issues inevitably arise due to their special operating mode. And they are critical to the application of immersion gratings. This study investigated the relations between the lengths of the long- and short-wave of normal gratings. For the features of the relevance of the refractive index with wavelength, the short-wave infrared spectral band (1.5~2.5 μm) was taken as an example to analyze the change characteristics of spectral line location and spectral resolution of immersion gratings. Results showed that when immersion gratings were adopted, significant differences were observed in the distribution of spectral lines as compared with normal gratings, and "trapezoidal" spectral lines tilted. For short-wave infrared spectral lines, the inclination of the "trapezoidal" spectral lines became more apparent due to larger changes in the refractive index of the medium. When Littrow conditions were registered with long-wave length (2.5 μm), the spectral line tilted toward the short-wave end. When registration was done with short-wave length (1.5 μm), the spectral line tilted toward the long-wave end, and the Littrow wavelength drifted away from the central wavelength. The refractive index had a few changes at the thermal infrared spectral band. The tilt of "trapezoidal" spectral lines was smaller and more similar to that of normal gratings. The spectral resolution of immersion gratings varied due to changes in the refractive index. At the same order, the wavelength increased, and resolution increased; between various orders, the order decreased, and the resolution decreased. Meanwhile, considering that the high-order resolution was larger than the low-order's, the ratio of the lengths of spectral lines at various orders no longer meet the relation of normal gratings. © 2017, Science Press. All right reserved.
  Accession Number: 20180104598285
• Record 333 of
  
  Title:HDPA: Hierarchical deep probability analysis for scene parsing
  
  Author(s):Yuan, Yuan(1); Jiang, Zhiyu(1,2); Wangm, Qi(3)
  Source: Proceedings - IEEE International Conference on Multimedia and Expo  Volume: 0  Issue:   DOI: 10.1109/ICME.2017.8019367  Published: August 28, 2017  
  Abstract:Scene parsing is an important task in computer vision and many issues still need to be solved. One problem is about the non-unified framework for predicting things and stuff and the other one refers to the inadequate description of contextual information. In this paper, we address these issues by proposing a Hierarchical Deep Probability Analysis(HDPA) method which particularly exploits the power of probabilistic graphical model and deep convolutional neural network on pixel-level scene parsing. To be specific, an input image is initially segmented and represented through a CNN framework under Gaussian pyramid. Then the graphical models are built under each scale and the labels are ultimately predicted by structural analysis. Three contributions are claimed: unified framework for scene labeling, hierarchical probabilistic graphical modeling and adequate contextual information consideration. Experiments on three benchmarks show that the proposed method outperforms the state-of-the-arts in scene parsing. © 2017 IEEE.
  Accession Number: 20174004234853
• Record 334 of
  
  Title:Assessment of image quality for spot-detecting camera with anisotropic Gaussian fitting
  
  Author(s):Li, Kun(1); Zhao, Jian-Ke(1); Chen, Yong-Quan(1); Xue, Xun(1); Duan, Ya-Xuan(1); Cao, Kun(1)
  Source: Guangxue Jingmi Gongcheng/Optics and Precision Engineering  Volume: 25  Issue: 12  DOI: 10.3788/OPE.20172512.3187  Published: December 1, 2017  
  Abstract:To evaluate quantitatively the image quality of a spot-detecting camera, a 2D anisotropic Gaussian fitting method was proposed. A spot-detecting camera was used to collect the infinity point target coming from a star simulator, and a certain area of energy distribution was obtained. Based on the correlation of the Gaussian energy distribution and the original distribution, this energy distribution was used in anisotropic Gaussian fitting to solve the parameters such as Gaussian radius and anisotropic factor. Then, the size of 80% of the energy was obtained by numerical integration. The experimental results show that the background threshold and anisotropic factor are optimized automatically and the influence of the noise on test results is reduced since the correlation is introduced. Moreover, the introduction of anisotropic factors, evaluation of pixel-phase error and the effect of optical system aberration on the imaging quality of the camera can be used as the testing condition criterion for defocused spots. The experimental results show that the repeatability of equivalent area circle diameter for the defocused spots is 0.15 pixel under the crisscross-shaped condition and that is 0.19 pixel under the farmland-shaped condition, respectively. The proposed method implements the defocused spot test by spot-detecting cameras, and also controls better imaging quality. © 2017, Science Press. All right reserved.
  Accession Number: 20180504692894
• Record 335 of
  
  Title:Femtosecond passively Er-doped mode-locked fiber laser with WS2 solution saturable absorber
  
  Author(s):Li, Lu(1,2); Su, Yulong(1); Wang, Yonggang(1); Wang, Xi(1); Wang, Yishan(1,3); Li, Xiaohui(3); Mao, Dong(4); Si, Jinhai(2)
  Source: IEEE Journal of Selected Topics in Quantum Electronics  Volume: 23  Issue: 1  DOI: 10.1109/JSTQE.2016.2538640  Published: 2017  
  Abstract:This study presents the femtosecond fundamental and harmonic mode-locked Er-doped fiber laser withWS2 solution saturable absorber (SSA). The SA is fabricated based on a D-shaped fiber (DF) embedded in WS2 nanosheets solution. Such WS2 solution has virtues of good antioxidant capacity, excellent scattering resistance, high heat dissipation, and high damage threshold. This kind of SA shows a modulation depth of 11%, a saturable intensity Isat of 5MW/cm2, and nonsaturable loss of 18%. By employing DF-WS2 SSA, a stable mode-locked fiber laser is achieved with repetition rate of 10.2 MHz and pulse duration of 660 fs. At the pump power of 350 mW, 460.7-MHz repetition rate harmonic mode-locking (HML) operation is also obtained, which corresponds to 45th harmonics of the fundamental cavity repetition rate. The pulse duration is 710 fs and signal-to-noise ratio is 66 dB, showing the excellent performance in HML fiber laser with SA. The results indicate that DF-WS2 solution can work as a potential SA for ultrafast nonlinear optics. © 2016 IEEE.
  Accession Number: 20163702792642
• Record 336 of
  
  Title:Optimizing the phase matching in high-order harmonics generation
  
  Author(s):Wang, Chao(1,2,3); Kim, Dong Eon(2,3); Kang, Yi-Fan(4); Bhattacharjee, Nilabha(2,3); Bai, Yong-Lin(1); Wang, Yi-Shan(5)
  Source: Proceedings of SPIE - The International Society for Optical Engineering  Volume: 10457  Issue:   DOI: 10.1117/12.2281986  Published: 2017  
  Abstract:This paper presents an experimental method to realize the best high-order harmonics generation (HHG) phase matching in the interaction of strong optical field with gas target. By studying the effects of the relative location between gas target source and the Gaussian-shaped driving femtosecond laser field focus on the harmonics yield, conclusions are obtained that the optimum position of gas target for phase matching is always behind the of the focal point of the driving field, with much lower HHG yield before the focus caused by serious harmonics phase mismatch. Meanwhile, with optimum harmonics phase matching, the high-order harmonics field that resulted has the similar Gaussian-shaped spatial distribution characteristics with the driving field, verifying experimentally the commonly used assumptions for attosecond laser pulse based on HHG. This optimization method is also suitable both for other driving field with different spatial distribution of light intensity and other type of target source. The results here have important guiding significance for high harmonic generation and high harmonic isolated attosecond pulse technology. © 2017 SPIE.
  Accession Number: 20180204627037