Academic literature on the topic 'Illumination intensity'
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Journal articles on the topic "Illumination intensity"
Huang, Juan, Dana Křemenáková, Jiří Militký, and Vít Lédl. "Improvement and evenness of the side illuminating effect of side emitting optical fibers by fluorescent polyester fabric." Textile Research Journal 89, no. 10 (June 27, 2018): 2010–18. http://dx.doi.org/10.1177/0040517518783344.
Full textSong, Wei, Zhi Yong Meng, and Shu Wang Chen. "Design of Illumination Intensity Measure Instrument." Applied Mechanics and Materials 513-517 (February 2014): 3522–25. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3522.
Full textTew, John M. "Superlux 300–High-Intensity Illumination System." Neurosurgery 33, no. 4 (October 1993): 764–65. http://dx.doi.org/10.1227/00006123-199310000-00034.
Full textJakobsen, Michael L., and Steen G. Hanson. "Speckle dynamics for intensity-modulated illumination." Applied Optics 47, no. 20 (July 9, 2008): 3674. http://dx.doi.org/10.1364/ao.47.003674.
Full textTew, John M. "Superlux 300–High-Intensity Illumination System." Neurosurgery 33, no. 4 (October 1, 1993): 764–65. http://dx.doi.org/10.1097/00006123-199310000-00034.
Full textNovikov, Alexei, Miguel Moscoso, and George Papanicolaou. "Illumination Strategies for Intensity-Only Imaging." SIAM Journal on Imaging Sciences 8, no. 3 (January 2015): 1547–73. http://dx.doi.org/10.1137/140994617.
Full textJournal, Baghdad Science. "The contrast and illumination technique for image capturing under different Tungsten illumination." Baghdad Science Journal 7, no. 2 (June 6, 2010): 939–47. http://dx.doi.org/10.21123/bsj.7.2.939-947.
Full textLin, Chin-Chiuan. "Effect of Noise Intensity and Illumination Intensity on Visual Performance." Perceptual and Motor Skills 119, no. 2 (October 2014): 441–54. http://dx.doi.org/10.2466/26.24.pms.119c20z1.
Full textHeine, Jörn, Matthias Reuss, Benjamin Harke, Elisa D’Este, Steffen J. Sahl, and Stefan W. Hell. "Adaptive-illumination STED nanoscopy." Proceedings of the National Academy of Sciences 114, no. 37 (August 28, 2017): 9797–802. http://dx.doi.org/10.1073/pnas.1708304114.
Full textKISHIDA, Yasumitsu. "Intensity of Twilight Illumination in Natural Photoperiod." Journal of Agricultural Meteorology 41, no. 4 (1986): 359–63. http://dx.doi.org/10.2480/agrmet.41.359.
Full textDissertations / Theses on the topic "Illumination intensity"
Tyburski, Robin. "Investigating the illumination intensity dependence of the kinetic behaviour of charge recombination in a p-type dye sensitised solar cell." Thesis, Uppsala universitet, Institutionen för kemi - Ångström, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-202092.
Full textHe, Weiyi. "Optical Design of Beam Shaping Optics for Camera Probe and LED Light Illumination Used for Minimally Invasive Abdominal Surgery." Scholar Commons, 2010. http://scholarcommons.usf.edu/etd/3532.
Full textTomeš, Martin. "Simulace LED náhrad v reálných podmínkách." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220695.
Full textBalharová, Gabriela. "Možnosti osvětlení vozidel pro zvýšení bezpečnosti silničního provozu." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-232650.
Full textMaxera, Pavel. "Porovnání výsledků experimentálních měření dohlednosti s dostupným SW." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-232646.
Full textPavelka, Adam. "Numerické modelování zdrojů světla." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219144.
Full textShen, Yu-Ling, and 沈郁玲. "The study of InGaN illumination intensity affected with post annealing environment." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/91758721515728842465.
Full text國立中山大學
材料科學研究所
90
We will add AlN and InN powder in order to change the post annealing environment. We want to understand the quality and optical properties of InGaN/GaN quantum well undergoing post annealing.
Hsiao, Wei-Yun, and 蕭為允. "An Autonomous Obstacle-Avoidance Vehicle System based on Image Detection using Illumination Intensity." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/93827616645663691096.
Full text中原大學
電子工程研究所
101
The automation of autonomous mobile vehicle (AMV) must rely on a well-designed system operations, including obstacle detection, path planning and motor control. For obstacle detection, a previous work proposed a sensing method based on light intensity, where a single visual sensor along with a concentrated LED flashlight is used to achieve the objective of obstacle avoidance and distance estimation. In that method, a series of image pre-processing steps are adopted to capture the characteristics of reflection light obtained from the LED light source. Once the system identifies one and only one characteristic light source for a period of time, the system has detected an obstacle. However, it is not robust because the success of capturing characteristic light source highly depends on the material property and textures of the obstacle. According to that method, this thesis proposed a method to fix the potential problem of broken pieces of characteristic of the light source. By testing based on a new data set consisting of different materials and textures of obstacle, the proposed method is shown to be more robust and stable than the previous work because the statistic kappa value is pushed up significantly from 0.22 to 0.64. A regression analysis based on 40 experimental data is used to find a distance estimation equation and parameters in the distance estimation experiment. The proposed method and the laser image oriented methods called IBDMS and IBDAMS are compared in terms of the accuracy of distance estimation. The advantages and the disadvantages between IBDAMS and the proposed method are listed so that users can choose the visual system according to their needs. The applicable distance range with the proposed method is from 10 cm to more than 200 cm and the resulting absolute average error rate is 3.84%. The error rate is small enough to meet the requirement for the AMV in obstacle avoidance applications. Finally, the proposed method and a simple obstacle avoidance strategy is embedded in an AMV and a obstacle avoidance experiment is conducted to demonstrate the practical value of the proposed system.
Qiu, Zhong-Yi, and 邱仲毅. "Nighttime License Plate and Human Face Recognition Based on Multi-Intensity IR Illumination." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/03623880047711188464.
Full text國立交通大學
資訊科學與工程研究所
104
Nighttime video surveillance has become more and more popular. License plate recognition and face recognition are two important applications in nighttime video surveillance. However, nighttime videos are unclear due to insufficient illumination at far distance, overexposure at near distance and backlight situation. To solve these problems, we adopt a new multi-intensity infrared illuminator as a supportive light source to provide multiple illumination levels. Because there are imaging results with multiple intensities, analyzing and integrating these results is the purpose of this thesis. Experiment results show that multi-intensity infrared illumination can indeed improve the performance of license plate recognition and face recognition.
Huang, Ren-Hong, and 黃任宏. "An Image Detection System based on Illumination Intensity for Obstacle Avoidance of Autonomous Vehicles." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/35165453308557551643.
Full text中原大學
電子工程研究所
99
In the development of autonomous mobile vehicle (AMV), the precise automated actions must rely on a well-designed operating system, which includes motor control, path planning and obstacle detection. This thesis presents a sensing system for the obstacle detection of AMV. The system can detect the existence of an obstacle and estimate the distance between the AMV and the obstacle. This study presents a vision-based sensing approach, without the need of processing the highly complex environment of stereo imaging. Instead a single visual sensor with a directional front concentrating LED light is used to detect obstacles and estimate the distance. In the obstacle detection experiment, an image pre-processing step is adopted to capture the characteristics of a light reflection source obtained from the LED light. When only one light reflection characteristics is identified for a period of time, the system determines that the obstacle exists. The accuracy, sensitivity, specificity, and confidence level are used to evaluate the detection capability of the system for various obstacle conditions, where the confidence level reflects the trustworthiness of the proposed system. The proposed system got a confidence level of 0.67, which shows good credibility. When the obstacle has an irregular surface, the system can overcome the detection difficulty for a single pointing and over-directional sensor (e.g. laser and infrared sensor). In the distance estimation, a standard experiment environment is built for the comparative study between a regression analysis approach and TaE (Trial and Error). A curve fitting result from 50 experimental data is used to estimate the distance formula and parameters. The experiment shows that the regression analysis approach has -1 % of average error rate, while TaE has -1.08%. The error rate is small enough to meet the demand for the AMV in obstacle avoidance applications.
Book chapters on the topic "Illumination intensity"
Gooch, Jan W. "Intensity of Illumination." In Encyclopedic Dictionary of Polymers, 391–92. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_6369.
Full textMontoliu, Raúl, Filiberto Pla, and Arnoud C. Klaren. "Illumination Intensity, Object Geometry and Highlights Invariance in Multispectral Imaging." In Pattern Recognition and Image Analysis, 36–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11492429_5.
Full textYue, Xuejun, Tiansheng Hong, Songbin Zhai, and Yuanjie Chen. "An Illumination Intensity Collecting System of Citrus Leaf Based on WSN." In Lecture Notes in Electrical Engineering, 1145–54. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2169-2_135.
Full textHan, Yanxiang, Zhisheng Zhang, Lei Zhang, Ping Chen, and Fei Hao. "Image Intensity Correction Under Illumination Changes Based on Mixture Gaussian Model." In Lecture Notes in Electrical Engineering, 831–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38466-0_92.
Full textYang, Zhi, and Varun Chandola. "Surface Reconstruction from Intensity Image Using Illumination Model Based Morphable Modeling." In Lecture Notes in Computer Science, 117–27. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20904-3_11.
Full textKo, Seok-Jun, Sang-Seop Lim, and Chul-Ung Kang. "Experiments on the Sensor Space Based Location Estimation System under KS Specified Illumination Intensity Environment." In Computer Applications for Software Engineering, Disaster Recovery, and Business Continuity, 225–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35267-6_29.
Full textNeumann-Spallart, Michael, Albin Schwarz, and Gottfried Grabner. "On the Quantum Yield of Photocurrents in p-n Si Photodiodes Under Very High Intensity (Pulsed Laser) Illumination." In Seventh E.C. Photovoltaic Solar Energy Conference, 1193–95. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3817-5_212.
Full textKardassevitch, Cyril, Jean Pierre Jessel, Mathias Paulin, and René Caubet. "Improving The Illumination Quality Of VRML 97 Walkthrough Via Intensive Texture Usage." In Eurographics, 63–72. Vienna: Springer Vienna, 1999. http://dx.doi.org/10.1007/978-3-7091-6805-9_7.
Full text"Intensity of illumination." In Encyclopedic Dictionary of Polymers, 528–29. New York, NY: Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-30160-0_6269.
Full textKeiko Lima Fujita, Alessandra, Daniel José Chianfrome, Vinicius Sigari Moreira, Anderson Luiz Zanchin, Priscila Fernanda Campos de Menezes, and Vanderlei Salvador Bagnato. "Anatomically Adjustable Device for Large-Area Photodynamic Therapy." In Photodynamic Therapy - from Basic Science to Clinical Research [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.93917.
Full textConference papers on the topic "Illumination intensity"
Sorgato, Simone, Julio Chaves, Rubén Mohedano, Hugo Thienpont, Fabian Duerr, Maikel Hernandez, Jose Blen, and Dejan Grabovickic. "Prescribed intensity patterns from extended sources by means of a wavefront-matching procedure." In Illumination Optics V, edited by Tina E. Kidger and Stuart David. SPIE, 2018. http://dx.doi.org/10.1117/12.2313809.
Full textChan, Chia-Hsin, Hua-Tsung Chen, Wen-Chih Teng, Chin-Wei Liu, and Jen-Hui Chuang. "MI3: Multi-intensity infrared illumination video database." In 2015 Visual Communications and Image Processing (VCIP). IEEE, 2015. http://dx.doi.org/10.1109/vcip.2015.7457860.
Full textYamaguchi, Eiichiro, Vinay K. Natrajan, and Kenneth T. Christensen. "Development of a Two-Dye LIF Technique for Measuring Fluid Temperature Fields in Microfluidic Devices." In ASME 2006 2nd Joint U.S.-European Fluids Engineering Summer Meeting Collocated With the 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/fedsm2006-98128.
Full textLingjie Feng, Xin Gao, Xiyu Li, and Jia Tang. "Intensity correlation imaging methods with active laser illumination." In 2015 IEEE International Conference on Progress in Informatics and Computing (PIC). IEEE, 2015. http://dx.doi.org/10.1109/pic.2015.7489906.
Full textHwang, Chan, In-sung Kim, Sang-Gyun Woo, Han-Ku Cho, and Woo-Sung Han. "Impact of illumination intensity profile on lithography simulation." In Microlithography 2004, edited by Bruce W. Smith. SPIE, 2004. http://dx.doi.org/10.1117/12.536356.
Full textDas, Abhijit, B. R. Boruah, P. Predeep, Mrinal Thakur, and M. K. Ravi Varma. "Point Scanning Microscope with Adaptive Illumination Beam Intensity." In OPTICS: PHENOMENA, MATERIALS, DEVICES, AND CHARACTERIZATION: OPTICS 2011: International Conference on Light. AIP, 2011. http://dx.doi.org/10.1063/1.3643537.
Full textFarmer, Michael E. "Illumination invariant intensity-based image registration using chaos theory." In ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2013. http://dx.doi.org/10.1109/icassp.2013.6638023.
Full textKim, Jin-Ha, Seok-Hwan Oh, Dong-Seon Lee, Jeong-Ho Yeo, Yong H. Yu, and Jeong-Lim Nam. "Pattern deformation induced from intensity-unbalanced off-axis illumination." In Microlithography '97, edited by Gene E. Fuller. SPIE, 1997. http://dx.doi.org/10.1117/12.275980.
Full textTeng, Wen-Chih, and Jen-Hui Chuang. "Intelligent ICU Video Display for multi-intensity IR illumination." In 2014 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW). IEEE, 2014. http://dx.doi.org/10.1109/icce-tw.2014.6904049.
Full textChin, Y. C., G. W. Chang, S. Y. Chu, and H. L. Wang. "The Average Intensity of Illumination and the Power Optimization." In 2009 Asia-Pacific Power and Energy Engineering Conference. IEEE, 2009. http://dx.doi.org/10.1109/appeec.2009.4918870.
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