Relevant bibliographies by topics / Image processing Imaging systems Multispectral photography

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Image processing Imaging systems Multispectral photography'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Image processing Imaging systems Multispectral photography"

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Wong, Kam W. "REAL-TIME MACHINE VISION SYSTEMS." Canadian Surveyor 41, no. 2 (1987): 173–80. http://dx.doi.org/10.1139/tcs-1987-0013.

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Recent developments in machine vision systems, solid state cameras, and image processing are reviewed. Both hardware and software systems are currently available for performing real-time recognition and geometric measurements. More than 1000 units of these imaging systems are already being used in manufacturing plants in the United States. Current research efforts are focused on the processing of three-dimensional information and on knowledge-based processing systems. Five potential research topics in the area of photogrammetry are proposed: 1) stereo solid state camera systems, 2) image corre
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Sun, Xudong, Lei Huang, and Changping Liu. "Multispectral face spoofing detection using VIS–NIR imaging correlation." International Journal of Wavelets, Multiresolution and Information Processing 16, no. 02 (2018): 1840003. http://dx.doi.org/10.1142/s0219691318400039.

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With the wide applications of face recognition techniques, spoofing detection is playing an important role in the security systems and has drawn much attention. This research presents a multispectral face anti-spoofing method working with both visible (VIS) and near-infrared (NIR) spectra imaging, which exploits VIS–NIR image consistency for spoofing detection. First, we use part-based methods to extract illumination robust local descriptors, and then the consistency is calculated to perform spoofing detection. In order to further exploit multispectral correlation in local patches and to be fr
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Lopez-Ruiz, Nuria, Fernando Granados-Ortega, Miguel Angel Carvajal, and Antonio Martinez-Olmos. "Portable multispectral imaging system based on Raspberry Pi." Sensor Review 37, no. 3 (2017): 322–29. http://dx.doi.org/10.1108/sr-12-2016-0276.

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Purpose In this work, the authors aim to present a compact low-cost and portable spectral imaging system for general purposes. The developed system provides information that can be used for a fast in situ identification and classification of samples based on the analysis of captured images. The connectivity of the instrument allows a deeper analysis of the images in an external computer. Design/methodology/approach The wavelength selection of the system is carried out by light multiplexing through a light-emitting diode panel where eight wavelengths covering the spectrum from ultraviolet (UV)
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Rahman, Gazi, Hanif Sohag, Rakibul Chowdhury, et al. "SoilCam: A Fully Automated Minirhizotron using Multispectral Imaging for Root Activity Monitoring." Sensors 20, no. 3 (2020): 787. http://dx.doi.org/10.3390/s20030787.

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A minirhizotron is an in situ root imaging system that captures components of root system architecture dynamics over time. Commercial minirhizotrons are expensive, limited to white-light imaging, and often need human intervention. The implementation of a minirhizotron needs to be low cost, automated, and customizable to be effective and widely adopted. We present a newly designed root imaging system called SoilCam that addresses the above mentioned limitations. The imaging system is multi-modal, i.e., it supports both conventional white-light and multispectral imaging, with fully automated ope
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Singh, Anshul Kumar, and Brajesh Kumar Singh. "Applications of Human Biometrics in Digital Image Processing." International Journal of Innovative Science and Research Technology 5, no. 7 (2020): 1273–76. http://dx.doi.org/10.38124/ijisrt20jul748.

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Digital image processing is the trending topic of research in recent time and big amount of research work related to Biometric features is done and currently it achieved good amount of accuracy. Biometric features is used for security, verification and recognition purpose. This paper is a showcase of how security systems can be developed by using biometric features of human like face, fingerprint and iris, etc. It can be used for the purpose of identification, recognition and Authentication and it is also applicable for making software for image preparation in bioscience laboratories that make
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Bai, Geng, Sarah Blecha, Yufeng Ge, Harkamal Walia, and Piyaporn Phansak. "Characterizing Wheat Response to Water Limitation Using Multispectral and Thermal Imaging." Transactions of the ASABE 60, no. 5 (2017): 1457–66. http://dx.doi.org/10.13031/trans.11967.

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Abstract. Effective screening of plant genotypes for their tolerance to abiotic stress is a vital step for crop improvement. Various sensing technologies can be used for developing automated plant phenotyping systems as well as for better control of stress levels imposed on the plants. In this study, seven different wheat genotypes (G1 through G7) were grown under two different water regimes in a greenhouse. Soil moisture was monitored by soil water tension sensors distributed among the experimental plots. A sensor platform with two cameras (a multispectral camera and a thermal infrared camera
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Chiba, Toru, Yoshimi Obara, Masaharu Murata, and Tomohiko Akahoshi. "Advanced multispectral image-processing endoscopy system for visualizing two-dimensional hemoglobin saturation and relative hemoglobin concentration." Endoscopy International Open 07, no. 11 (2019): E1442—E1447. http://dx.doi.org/10.1055/a-0990-9189.

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Abstract Background and study aims The association of tumor hypoxia and vascularization with malignant progression is recognized, and detection by measuring tissue hemoglobin (Hb) saturation and concentration has attracted attention. In this study, we designed a simple algorithm and multispectral image-processing endoscopy system to map relative Hb concentration and Hb saturation for detection of tumors in small animal viscera in vivo. Materials and methods We designed and validated an optical filter-equipped endoscope system for two-dimensional visualization of Hb concentration and saturation
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Chen, Qiao, Li Jie Wang, and Stephen Westland. "A Novel Method for Representation of Spectral Images Based on Color Matching Functions." Advanced Materials Research 181-182 (January 2011): 410–15. http://dx.doi.org/10.4028/www.scientific.net/amr.181-182.410.

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Spectral images contain a large volume of data and the development of multispectral imaging systems places considerable demands on computer hardware and software compared with standard three-component or trichromatic image storage and processing. This study is concerned with lossy compression techniques for spectral images since many color images are intended for display for human perception and it is well established that images contain redundancies (in terms of their color, spatial and temporal properties) that can be removed without any loss in image quality. The lossy compression technique
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Price, TV, R. Gross, Wey J. Ho, and CF Osborne. "A comparison of visual and digital image-processing methods in quantifying the severity of coffee leaf rust (Hemileia vastatrix)." Australian Journal of Experimental Agriculture 33, no. 1 (1993): 97. http://dx.doi.org/10.1071/ea9930097.

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Using disease diagrams, visual assessments of coffee leaf rust from Papua New Guinea overestimated severity by >2 times when >20% leaf area was rusted. Nevertheless, a significant linear relationship was established between visual and planimeter assessments of coffee rust severity. Colour image analysis, using a Matrox digitiser, was more accurate than visual estimates or black and white imaging systems in discriminating between rusted and healthy leaf tissues in colour transparency photographs of rusted coffee leaves. Electronic flash photography of rusted coffee leaves produced images
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Tseng, Ethan, Ali Mosleh, Fahim Mannan, et al. "Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design." ACM Transactions on Graphics 40, no. 2 (2021): 1–19. http://dx.doi.org/10.1145/3446791.

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Most modern commodity imaging systems we use directly for photography—or indirectly rely on for downstream applications—employ optical systems of multiple lenses that must balance deviations from perfect optics, manufacturing constraints, tolerances, cost, and footprint. Although optical designs often have complex interactions with downstream image processing or analysis tasks, today’s compound optics are designed in isolation from these interactions. Existing optical design tools aim to minimize optical aberrations, such as deviations from Gauss’ linear model of optics, instead of application
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Dissertations / Theses on the topic "Image processing Imaging systems Multispectral photography"

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Daniel, Brian. "A system study of sparse aperture sensors in remote sensing applications with explicit phase retrieval /." Online version of thesis, 2009. http://hdl.handle.net/1850/9676.

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Wittwer, Christian. "Fundamentals of digital imaging /." Online version of thesis, 1995. http://hdl.handle.net/1850/12257.

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Prasert, Sunyaruk. "Multi angle imaging with spectral remote sensing for scene classification." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FPrasert.pdf.

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Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, March 2005.<br>Thesis Advisor(s): Richard C. Olsen. Includes bibliographical references (p. 95-97). Also available online.
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DIMAS, FIRMANDA AL RIZA. "Potato surface defect detection using machine vision systems based on spectral reflection and fluorescence characteristics in the UV-NIR region." Kyoto University, 2019. http://hdl.handle.net/2433/244556.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(農学)<br>甲第22075号<br>農博第2367号<br>新制||農||1072(附属図書館)<br>学位論文||R1||N5229(農学部図書室)<br>京都大学大学院農学研究科地域環境科学専攻<br>(主査)教授 近藤 直, 准教授 小川 雄一, 教授 清水 浩<br>学位規則第4条第1項該当
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Hardy, Caroline Hazel. "Image processing techniques for hazardous weather detection." Thesis, 2012. http://hdl.handle.net/10210/4844.

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M.Ing.<br>Globally, hazardous weather phenomena such as violent storms, oods, cyclones, tornadoes, snow and hail contribute to signi cant annual xed property damages, loss of movable property and loss of life. The majority of global natural disasters are related to hydro-meteorological events. Hazardous storms are destructive and pose a threat to life and property. Forecasting, monitoring and detecting hazardous storms are complex and demanding tasks, that are however essential. In this study automatic hazardous weather detection utilizing remotely sensed meteorological data has been investiga
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Books on the topic "Image processing Imaging systems Multispectral photography"

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Chen, Zhong, Jianguo Liu, and Mingyue Ding. MIPPR 2011: Parallel processing of images and optimization and medical imaging processing. Edited by Hua zhong gong xue yuan, National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Guilin dian zi ke ji da xue, SPIE (Society), and International Symposium on Multispectral Image Processing and Pattern Recognition (7th : 2011 : Guilin, China). SPIE, 2011.

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International, Symposium on Multispectral Image Processing and Pattern Recognition (5th 2007 Wuhan China). MIPPR 2007: Automatic target recognition and image analysis; and multispectral image acquisition : 15-17 November 2007, Wuhan, China. SPIE, 2007.

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Hanqing, Lu, Zhang T, Zhongguo ke xue yuan. Institute of Automation. National Laboratory of Pattern Recognition., et al., eds. Multispectral image processing and pattern recognition: Third International Symposium on Multispectral Image Processing and Pattern Recognition : 20-22 October, 2003, Beijing, China. SPIE, 2003.

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Hyperspectral imaging: Techniques for spectral detection and classification. Kluwer Academic/Plenum Publishers, 2003.

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The science of imaging. 2nd ed. CRC Press, 2010.

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National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Guilin dian zi ke ji da xue, Hua zhong gong xue yuan, SPIE (Society), and International Symposium on Multispectral Image Processing and Pattern Recognition (7th : 2011 : Guilin, China), eds. MIPPR 2011: Remote sensing, image processing, geographic information systems, and other applications. SPIE, 2011.

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Rangayyan, Rangaraj M. Color image processing with biomedical applications. SPIE Press, 2011.

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International Symposium on Multispectral Image Processing and Pattern Recognition (5th 2007 Wuhan, China). MIPPR 2007: Remote sensing and GIS data processing and applications, and innovative multispectral technology and applications : 15-17 November 2007, Wuhan, China. Edited by Wang Yongji, State Key Laboratory for Multi-spectral Information Processing Technologies., Zhongguo ke xue yuan. Zidonghua Yanjiuyuan., Wuhan da xue, and SPIE (Society). SPIE, 2007.

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Frank, Pohlmann, MacDonald Brian, Andres Clay, et al., eds. Beginning Digital Image Processing: Using Free Tools for Photographers. Apress, 2009.

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Tianxu, Zhang, Hua zhong gong xue yuan, National Laboratory for Multi-spectral Information Processing Technologies, and SPIE (Society), eds. MIPPR 2009: Automatic target recognition and image analysis : 30 October-1 November 2009, Yichang, China. SPIE, 2009.

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Book chapters on the topic "Image processing Imaging systems Multispectral photography"

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Karvelis, Petros S., and Dimitrios I. Fotiadis. "Recent Advances in Automated Chromosome Image Analysis." In Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-314-2.ch020.

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Automated chromosome analysis is now becoming routine in most human cytogenetics laboratories. It involves both processing and analysis of digital images and has been developed because of the demandby cytogeneticists. Over the years, many techniques have been introduced for the automatic segmentation and classification of chromosome images, of which only a few are included in the available commercial systems. Today, advances in chromosome imaging techniques, especially in multispectral imaging, lead the way for the development of new and improved methods for the location, segmentation and classification of chromosome images by exploiting the color information. In this chapter the authors describe methods which have been already developed for automated chromosome analysis.
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Conference papers on the topic "Image processing Imaging systems Multispectral photography"

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Zhang, Haitao, Mali Gong, Dazun Zhao, Ping Yan, Ruizhen Cui, and Weipu Jia. "Superresolution techniques in optoelectronic imaging systems." In Multispectral Image Processing and Pattern Recognition, edited by Qingxi Tong, Yaoting Zhu, and Zhenfu Zhu. SPIE, 2001. http://dx.doi.org/10.1117/12.441368.

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Polder, Gerrit, and Gerie W. van der Heijden. "Calibration and characterization of spectral imaging systems." In Multispectral Image Processing and Pattern Recognition, edited by Qingxi Tong, Yaoting Zhu, and Zhenfu Zhu. SPIE, 2001. http://dx.doi.org/10.1117/12.441362.

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Casasent, David, and Timothy Slagle. "A Mixture Neural Net For Multispectral Imaging Spectrometer Processing." In 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, edited by Paul S. Schenker. SPIE, 1990. http://dx.doi.org/10.1117/12.969986.

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Li, Jiamao, and Xiaolin Zhang. "Using high-speed photography and image processing for fixational eye movements measurement." In 2012 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 2012. http://dx.doi.org/10.1109/ist.2012.6295506.

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