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

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

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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2

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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9

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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Valença, J. "Systems based on photogrammetry to evaluation of built heritage: tentative guidelines and control parameters." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5 (June 6, 2014): 607–13. http://dx.doi.org/10.5194/isprsarchives-xl-5-607-2014.

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Technological innovations based on close-range imaging have arisen. The developments are related with both the advances in mathematical algorithms and acquisition equipment. This evolution allows to acquire data with large and powerful sensors and the fast and efficient processing of data. In general, the preservation of built heritage have applied these technological innovations very successfully in their different areas of intervention, namely, photogrammetry, digital image processing and multispectral image analysis. Furthermore, commercial packages of software and hardware have emerged. Th

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Faigenbaum-Golovin, Shira, Arie Shaus, Barak Sober, et al. "Computerized Paleographic Investigation of Hebrew Iron Age Ostraca." Radiocarbon 57, no. 2 (2015): 317–25. http://dx.doi.org/10.2458/azu_rc.57.18565.

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This article surveys ongoing research of the Legibility Enhancement of Ostraca (LEO) team of Tel Aviv University in the field of computerized paleography of Hebrew Iron Age ink-written ostraca. We perform paleographic tasks using tools from the fields of image processing and machine learning. Several new techniques serving this aim, as well as an adaptation of existing ones, are described herein. This includes testing a range of signal-acquisition methodologies, out of which multispectral imaging and Raman spectroscopy have matured into imaging systems. In addition, we deal with semior fully a

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Syeda, Iqra Hassan, Mansoor Muhammad Alam, Usman Illahi, and Mazliham Muhammad Su'ud. "Advance control strategies using image processing, UAV and AI in agriculture: a review." World Journal of Engineering 18, no. 4 (2021): 579–89. http://dx.doi.org/10.1108/wje-09-2020-0459.

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Purpose The purpose of this paper is to provide an overview of smart agriculture systems and monitor and identify the technologies which can be used for deriving traditional agriculture system to modern agriculture system. It also provides the reader a broad area to work for the advancement in the field of agriculture and also explains the use of advanced technologies such as spectral imaging, robotics and artificial intelligence (AI) in the field of agriculture. Design/methodology/approach Smart uses of modern technologies were reviewed in the field of agriculture, which helps to monitor stre

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Fryskowska, Anna. "Improvement of 3D Power Line Extraction from Multiple Low-Cost UAV Imagery Using Wavelet Analysis." Sensors 19, no. 3 (2019): 700. http://dx.doi.org/10.3390/s19030700.

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Three-dimensional (3D) mapping of power lines is very important for power line inspection. Many remotely-sensed data products like light detection and ranging (LiDAR) have been already studied for power line surveys. More and more data are being obtained via photogrammetric measurements. This increases the need for the implementation of advanced processing techniques. In recent years, there have been several developments in visualisation techniques using UAV (unmanned aerial vehicle) platform photography. The most modern of such imaging systems have the ability to generate dense point clouds.

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Khaing, Tin Tin, Thayanee Ruennark, Pakinee Aimmanee, Stanislav Makhanov, and Navapol Kanchanaranya. "Glaucoma Detection in Mobile Phone Retinal Images Based on ADI-GVF Segmentation with EM initialization." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 15, no. 1 (2021): 134–49. http://dx.doi.org/10.37936/ecti-cit.2021151.227261.

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The advanced development of mobile phone and lens technology has made retinal imaging more convenient than ever before. In the digital health era, mobile phone fundus photography has evolved into a low-cost alternative to the standard ophthalmoscope. Existing image processing algorithms have a problem with handling the narrow field of view and poor quality of retinal images from a mobile phone. This paper enhances the accuracy of our previously proposed scheme, ADI-GVF snakes, to improve the segmentation of the optic disk (OD) and the optic cup (OC) for glaucoma pre-screening [1] from retinal

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Aiazzi, Bruno, Massimo Selva, Alberto Arienzo, and Stefano Baronti. "Influence of the System MTF on the On-Board Lossless Compression of Hyperspectral Raw Data." Remote Sensing 11, no. 7 (2019): 791. http://dx.doi.org/10.3390/rs11070791.

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A noticeable topic to be pursued in the field of on-board real-time data processing is the influence of the modulation transfer function (MTF) of the image acquisition system on the lossless compressibility of raw (that is, uncalibrated) hyperspectral data. Actually, notwithstanding the system device is constrained by several design and manufacturing requirements, the impact of the on-board MTF on the performance of data compressors is becoming remarkable. In particular, the aim of reducing both transmission bandwidth/power and mass storage can be efficiently pursued. Such an analysis is expec

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Yakubu, Bashir Ishaku, Shua’ib Musa Hassan, and Sallau Osisiemo Asiribo. "AN ASSESSMENT OF SPATIAL VARIATION OF LAND SURFACE CHARACTERISTICS OF MINNA, NIGER STATE NIGERIA FOR SUSTAINABLE URBANIZATION USING GEOSPATIAL TECHNIQUES." Geosfera Indonesia 3, no. 2 (2018): 27. http://dx.doi.org/10.19184/geosi.v3i2.7934.

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Rapid urbanization rates impact significantly on the nature of Land Cover patterns of the environment, which has been evident in the depletion of vegetal reserves and in general modifying the human climatic systems (Henderson, et al., 2017; Kumar, Masago, Mishra, & Fukushi, 2018; Luo and Lau, 2017). This study explores remote sensing classification technique and other auxiliary data to determine LULCC for a period of 50 years (1967-2016). The LULCC types identified were quantitatively evaluated using the change detection approach from results of maximum likelihood classification algorithm

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Jones, Cerys, William A. Christens-Barry, Melissa Terras, Michael B. Toth, and Adam Gibson. "Affine registration of multispectral images of historical documents for optimized feature recovery." Digital Scholarship in the Humanities, July 31, 2019. http://dx.doi.org/10.1093/llc/fqz054.

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Abstract Multispectral (MSI) imaging of historical documents can recover lost features, such as text or drawings. This technique involves capturing multiple images of a document illuminated using different wavelengths of light. The images created must be registered in order to ensure optimal results are produced from any subsequent image processing techniques. However, the images may be misaligned due to the presence of optical elements such as filters, or because they were acquired at different times or because the images were captured from different copies of the documents . There is little

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19

Bürsing, Helge, and Wolfgang Gross. "Hyperspectral imaging: future applications in security systems." Advanced Optical Technologies 6, no. 2 (2017). http://dx.doi.org/10.1515/aot-2017-0007.

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AbstractThe idea behind hyperspectral imagers (HSI) is to generate an image with hundreds of contiguous narrow channels, the so-called spectral bands. As each material has a specific spectral signature, robust detection and classification of specific materials is now achievable. Spectra can be characterized by narrow features in their signatures that broadband and multispectral cameras cannot resolve. As a result of technical progress, new HSI with higher spatial resolution and better signal-to-noise ratios have been developed. Additionally, it is possible to buy small HSI that weigh less than

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Piekkoontod, Tantus, Bhumiphat Pachana, Karnjana Hrimpeng, and Kitsanai Charoenjit. "Assessments of Nipa Forest Using Landsat Imagery Enhanced with Unmanned Aerial Vehicle Photography." Applied Environmental Research, October 5, 2020, 49–59. http://dx.doi.org/10.35762/aer.2020.42.3.5.

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Nipa palms are exposed by the transformation of land use and land cover changes (LULCC) due to changes to aquaculture and orchards. Modern remote sensing for environmental monitoring of LULCC has been made easier by the use of high spatial resolution images, innovative image processing and Geographic Information Systems (GIS). The expense of high-resolution satellite imagery has resulted in investigators moving to open sources (e.g., Landsat), therefore, the interpretation of images at a medium resolution can be classified simply as LULCC classes and are constrained by the detection of small-s

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Dodd, Adam. "Unacceptable Renewals." M/C Journal 3, no. 6 (2000). http://dx.doi.org/10.5204/mcj.1883.

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The object of mapping is to produce a "correct" relational model of the terrain. Its assumptions are that the objects in the world to be mapped are real and objective, and that they enjoy an existence independent of the cartographer; that their reality can be expressed in mathematical terms; that systematic observation and measurement offer the only route to cartographic truth; and that this truth can be independently verified. -- J. B. Harley, "Deconstructing the Map" Cartography, in its pragmatic operation under these assumptions, avoids almost all of the problems of representation with whic

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