Academic literature on the topic 'Image separation'

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Journal articles on the topic "Image separation"

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Duveneck, Eric. "Up/down separation of seismic depth images." GEOPHYSICS 83, no. 5 (2018): S375—S385. http://dx.doi.org/10.1190/geo2017-0754.1.

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Reverse time migration (RTM) is normally based on wavefield modeling that allows wave propagation in all spatial directions. While this is one of the strengths of RTM, it can also lead to undesired effects, including partial image amplitude cancellation for reflectors that are illuminated and imaged from two sides, as well as the appearance of ghost-reflection artifacts if the modeled source- and receiver-side wavefields are both scattered back from a hard model contrast. Both issues can be addressed by separating the seismic depth image into components imaged from above and components imaged
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Wajid, Mohd, and Mayank Sharma. "Digital Image Separation Algorithm Based on Joint PDF of Mixed Images." Image Processing & Communications 20, no. 1 (2015): 5–12. http://dx.doi.org/10.1515/ipc-2015-0025.

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Abstract In this article, we have presented an algorithm for separating the mixed or fused images. We have considered that the two independent histogram equalized digital images are linearly mixed, and the joint probability density function (PDF) or the scatter plot of the two observed or mixed images is used for separation. The objective and subjective separation results are presented, and observed to be better than the other existing techniques in terms of Peak signal-to-noise ratio (PSNR) and Signal-to-interference ratio (SIR).
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Chen, Cun, and Hui Peng. "Dynamic mode decomposition for blindly separating mixed signals and decrypting encrypted images." Big Data and Information Analytics 8 (2024): 1–25. http://dx.doi.org/10.3934/bdia.2024001.

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In this paper, we introduce the dynamic mode decomposition considering a lag $ \tau $ ($ \tau $-DMD) for solving the blind source separation (BSS) problem of chaotic signals and images. $ \tau $-DMD can be used in BSS-based image decryption with good separation performance. The unmixing problem was formulated as a modal decomposition problem. $ \tau $-DMD was applied on separating linear mixed chaotic signals showing a better separation performance than the existing blind source separation algorithms (Amuse, SOBI, FastICA and JADE). In addition, the case of adding noise in the mixing process w
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Khalfa, A., M. Sahed, E. Kenane, and N. Amardjia. "A Novel Blind Image Source Separation Using Hybrid Firefly Particle Swarm Optimization Algorithm." Engineering, Technology & Applied Science Research 12, no. 6 (2022): 9680–86. http://dx.doi.org/10.48084/etasr.5255.

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Signal and image separation are extensively used in numerous imaging applications and communication systems. In this paper, a novel Blind Source Separation (BSS) approach, based on the Hybrid Firefly Particle Swarm Optimization (HFPSO), is proposed for separating mixed images. This approach processes the observed source without any prior knowledge about the model and the statistics of the source signal. The proposed method presents high robustness against local minima and converges quickly to the global minimum. Via numerical simulations, the proposed approach is tested and validated in compar
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DYER, C. C. "Image Separation Statistics for Multiply Imaged Quasars." Annals of the New York Academy of Sciences 470, no. 1 Twelfth Texas (1986): 371. http://dx.doi.org/10.1111/j.1749-6632.1986.tb47996.x.

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Sharma, A., and J. K. Ghosh. "SALIENCY BASED SEGMENTATION OF SATELLITE IMAGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W4 (March 11, 2015): 207–14. http://dx.doi.org/10.5194/isprsannals-ii-3-w4-207-2015.

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Saliency gives the way as humans see any image and saliency based segmentation can be eventually helpful in Psychovisual image interpretation. Keeping this in view few saliency models are used along with segmentation algorithm and only the salient segments from image have been extracted. The work is carried out for terrestrial images as well as for satellite images. The methodology used in this work extracts those segments from segmented image which are having higher or equal saliency value than a threshold value. Salient and non salient regions of image become foreground and background respec
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Benahmed, Aziz, Mohcin Mekhfioui, and Zouhair Guennoun. "FPGA based Hardware Co-Simulation Implementation for RealTime Image Blind Separation using ICA Algorithms." International Journal of Emerging Technology and Advanced Engineering 12, no. 10 (2022): 75–81. http://dx.doi.org/10.46338/ijetae1022_09.

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The use of mixed image sources requires digital preprocessing to separate them, for making easier their storage and improve their quality. The ICALAB for Image Processing method is one of the solutions proposed for the blind efficient separation of signals without prior knowledge of the source images. Nevertheless, to choose the appropriate algorithm with the most efficient separation index, several tests are carried out on a certain number of algorithms, with off-line processing of image samples bases, by means of software tools which are generally installed on a computer, such as ICALAB, TIP
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Mamatov, Narzillo, Malika Jalelova, Boymirzo Samijonov, and Abdurashid Samijonov. "Algorithm for extracting contours of agricultural crops images." ITM Web of Conferences 59 (2024): 03015. http://dx.doi.org/10.1051/itmconf/20245903015.

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Abstract. Currently, identification of crop diseases and their prevention is one of the main problems in the field of agriculture. Conventional visual inspection is a time and money consuming process for farms. Therefore, images taken by unmanned aerial devices or satellites are used to assess the condition of crops, control them and identify diseases. In particular, when identifying crop diseases, it is necessary to first solve the problem of automatic recognition of their type through the image of crops. Usually contour separation algorithms are widely used in the segmentation of objects in
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Beard, B. L., and A. J. Ahumada. "Relevant Image Features for Vernier Acuity." Perception 26, no. 1_suppl (1997): 86. http://dx.doi.org/10.1068/v970194.

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The extraction of relevant image features is a key part of discrimination learning (E Gibson, 1969 Principles of Perceptual Learning and Development) and the identification of those features is necessary for the understanding of observer performance. Two mechanisms are thought to limit Vernier acuity judgments: orientation-selective and local-sign mechanisms (Waugh and Levi, 1993 Vision Research33 539 – 552; Beard et al, 1997 Vision Research37 325 – 346). The linear component of relevant image features can be determined for a Vernier task by adding external noise to the image and then averagin
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Zhang, Jing, Shaobo Zhang, Hui Wang, Yunsong Li, and Ruitao Lu. "Image Compression Network Structure Based on Multiscale Region of Interest Attention Network." Remote Sensing 15, no. 2 (2023): 522. http://dx.doi.org/10.3390/rs15020522.

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In this study, we proposed a region of interest (ROI) compression algorithm under the deep learning self-encoder framework to improve the reconstruction performance of the image and reduce the distortion of the ROI. First, we adopted a remote sensing image cloud detection algorithm for detecting important targets in images, that is, separating the remote sensing background from important regions in remote sensing images and then determining the target regions because most traditional ROI-based image compression algorithms utilize the manual labeling of the ROI to achieve region separation in i
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Dissertations / Theses on the topic "Image separation"

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Duan, Zhaoliang. "Single Image Direct-Global Illumination Separation." W&M ScholarWorks, 2020. https://scholarworks.wm.edu/etd/1616444522.

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Global light transport, including diffuse interreflections, caustic, refractions and subsurface scattering, is important to achieve photorealistic rendering. However rendering these phenomena is very time-consuming. Furthermore, many inverse rendering methods’ accuracy in computer graphics and computer vision is adversely affected by the presence of global light transport. Therefore, separating direct-global light transport components is necessary to help in designing new rendering methods and in improving the accuracy of many image inverse methods. Prior work on separating direct and global l
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Lai, Man Lok Michael. "Image sequence coding using intensity-based feature separation." Thesis, University of Cambridge, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284145.

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Romero, Macias Cristina. "Image understanding for automatic human and machine separation." Thesis, Queen Mary, University of London, 2013. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8640.

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The research presented in this thesis aims to extend the capabilities of human interaction proofs in order to improve security in web applications and services. The research focuses on developing a more robust and efficient Completely Automated Public Turing test to tell Computers and Human Apart (CAPTCHA) to increase the gap between human recognition and machine recognition. Two main novel approaches are presented, each one of them targeting a different area of human and machine recognition: a character recognition test, and an image recognition test. Along with the novel approaches, a catego
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Boonsuk, Wutthigrai. "Automated separation of bone joint structures for medical image reconstruction." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3369812.

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Saxena, Gaurav. "Air flow separation over wind generated waves." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 235 p, 2007. http://proquest.umi.com/pqdweb?did=1251900711&sid=2&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Leong, Wai Yie. "Implementing blind source separation in signal processing and telecommunications /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe19158.pdf.

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Tai, Yu-Wing. "Soft color segmentation with image-based applications : an alternating optimization approach /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?COMP%202005%20TAI.

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Obeng, Daniel Philip. "The Three-product cyclone : separation performance, potentrial applications and modelling /." St. Lucia, Qld, 2003. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17416.pdf.

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Rogers, Wendy Laurel. "A Mahalanobis-distance-based image segmentation error measure with applications in automated microscopy /." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66025.

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Burgmann, Sebastian. "Investigation of transitional separation bubbles using three-dimensional measurement techniques /." Aachen : Shaker, 2009. http://d-nb.info/998457027/04.

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Books on the topic "Image separation"

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Commeau, Judith A. Separation and identification of the silt-sized heavy-mineral fraction in sediments. U.S. G.P.O., 1992.

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Morovic, Jan. Color gamut mapping. John Wiley & Sons, 2008.

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Reinhard, Erik, Erum Arif Khan, Ahmet Oguz Akyüz, and Garrett M. Johnson. Color imaging: Fundamentals and applications. A. K. Peters, 2008.

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Beverly, Cleary. Dear Mr. Henshaw. HarperCollins e-books, 2008.

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Beverly, Cleary. Qin ai de Hanxiu xian sheng: Dear Mr. Henshaw. Xin lei chu ban she, 2014.

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Beverly, Cleary. Dear Mr.Henshaw. Penguin, 1985.

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Beverly, Cleary. Qin ai de Hanxiu xian sheng. Zhi mao wen hua shi ye you xian gong si, 1992.

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Beverly, Cleary. Dear Mr. Henshaw. Scholastic Inc., 1998.

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Beverly, Cleary. Dear Mr. Henshaw. 2nd ed. HarperCollins Publishers, 2008.

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Beverly, Cleary. Querido señor Henshaw. Beech Tree Paperback Books, 1997.

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Book chapters on the topic "Image separation"

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Snoussi, Hichem, and Ali Mohammad-Djafari. "Image Separation." In Inverse Problems in Vision and 3D Tomography. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118603864.ch11.

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Hosseini, Shahram, Rima Guidara, Yannick Deville, and Christian Jutten. "Markovian Blind Image Separation." In Independent Component Analysis and Blind Signal Separation. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11679363_14.

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Schechner, Yoav Y., Nahum Kiryati, and Joseph Shamir. "Multi-valued Images and Their Separation." In Multi-Image Analysis. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45134-x_10.

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Almeida, Mariana S. C., Harri Valpola, and Jaakko Särelä. "Separation of Nonlinear Image Mixtures by Denoising Source Separation." In Independent Component Analysis and Blind Signal Separation. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11679363_2.

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Valiollahzadeh, SeyyedMajid, Hamed Firouzi, Massoud Babaie-Zadeh, and Christian Jutten. "Image Denoising Using Sparse Representations." In Independent Component Analysis and Signal Separation. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00599-2_70.

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Bertagna, Giuseppe. "Il ‘brutto anatroccolo’ dell’istruzione e formazione professionale. Genetica di una pretesa ma insostenibile ‘inferiorità’." In Educazione degli Adulti: politiche, percorsi, prospettive. Firenze University Press, 2022. http://dx.doi.org/10.36253/979-12-215-0006-6.03.

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The separative logic is not educational. The essay reviews the historical events that have generated an undervaluation of vocational training pathways compared to education pathways. This "minority" of perception and legislation stems from a logic of separation with many faces which, taken all together, with etiological spirit and historical-ordinamental contextualization, explain the "untenable" inferiority of vocational education: people (the 'inferiors') and political-bureaucratic elite (the 'superiors'), nature and culture, man and citizen, etc. These separations concerned the idea of labo
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Michaeli, Tomer, Daniel Sigalov, and Yonina C. Eldar. "Partially Linear Estimation with Application to Image Deblurring Using Blurred/Noisy Image Pairs." In Latent Variable Analysis and Signal Separation. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28551-6_2.

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Hansen, Lars Kai. "Blind Separation of Noisy Image Mixtures." In Advances in Independent Component Analysis. Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0443-8_9.

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Shwartz, Sarit, Yoav Y. Schechner, and Michael Zibulevsky. "Efficient Separation of Convolutive Image Mixtures." In Independent Component Analysis and Blind Signal Separation. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11679363_31.

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Kutyniok, Gitta, and Wang-Q. Lim. "Image Separation Using Wavelets and Shearlets." In Curves and Surfaces. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27413-8_26.

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Conference papers on the topic "Image separation"

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Ranganath, Aditya, Jocelyn Ornelas Muñoz, Robert Smith, Mukesh Singhal, and Roummel Marcia. "Image Separation Using Transformer Attention Models." In 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS). IEEE, 2024. https://doi.org/10.1109/fmlds63805.2024.00066.

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Zhang, Di, and yuantong chai. "Cockpit background sound separation method based on convolutional spatio-temporal domain audio separation." In International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2025), edited by Haiquan Zhao and Xinhua Tang. SPIE, 2025. https://doi.org/10.1117/12.3070571.

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Sha, Hao, Yi Xiao, Pengjie Zhao, Tongtai Cao, Yue Liu, and Yongtian Wang. "Color Illumination Image Separation from Single Complex Scene Image for Augmented Reality." In 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). IEEE, 2024. https://doi.org/10.1109/ismar-adjunct64951.2024.00111.

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Shi, Diya, Yuanjie Deng, and Ying Wei. "Visually-guided Order-fixed Speech Separation Algorithm." In 2024 9th International Conference on Image, Vision and Computing (ICIVC). IEEE, 2024. https://doi.org/10.1109/icivc61627.2024.10837259.

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Ashino, Ryuichi, Shusuke Kataoka, Takeshi Mandai, and Akira Morimoto. "Image separation using multiwavelets." In 2011 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2011. http://dx.doi.org/10.1109/icwapr.2011.6014500.

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Mohammad-Djafari, Ali. "Wavelet Domain Image Separation." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 22nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. AIP, 2003. http://dx.doi.org/10.1063/1.1570545.

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Zhang, Haichao, and Yanning Zhang. "Bayesian image separation with natural image prior." In 2012 19th IEEE International Conference on Image Processing (ICIP 2012). IEEE, 2012. http://dx.doi.org/10.1109/icip.2012.6467305.

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Ichir, Mahieddine M., and Ali Mohammad-Djafari. "Wavelet domain blind image separation." In Optical Science and Technology, SPIE's 48th Annual Meeting, edited by Michael A. Unser, Akram Aldroubi, and Andrew F. Laine. SPIE, 2003. http://dx.doi.org/10.1117/12.508134.

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Roy, Kaushik, and Kinshuk Majumder. "Trilingual Script Separation of Handwritten Postal Document." In Image Processing (ICVGIP). IEEE, 2008. http://dx.doi.org/10.1109/icvgip.2008.29.

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Chen, Chuen-Yau, Cheng-Yuan Lin, Wei-Ching Liu, and Yen-Ting Chen. "Application of Blind-Signal-Processing Algorithm in Image Separation - Blind-Signal-Processing in Image Separation." In 2019 International SoC Design Conference (ISOCC). IEEE, 2019. http://dx.doi.org/10.1109/isocc47750.2019.9078531.

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Reports on the topic "Image separation"

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Svedeman. L51729 Gas Scrubber Performance Evaluation - Measurement Methods. Pipeline Research Council International, Inc. (PRCI), 1995. http://dx.doi.org/10.55274/r0010420.

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Scrubbers and separators are used in natural gas pipelines to remove solid and liquid materials from the gas stream. Failure to remove the entrained materials from the gas can result in equipment damage, increased pressure drop due to liquid accumulation, flow measurement errors, and corrosion. The performance of separators is rarely tested after a separator is installed because there is a lack of test instrumentation and it is difficult to conduct tests at the high pressures. The only indicators of poor separator performance are recurring problems in downstream equipment or the detection of a
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Zokay, Mustapha, and Hicham Saylani. Removing specular reflection in multispectral dermatological images using blind source separation. Peeref, 2023. http://dx.doi.org/10.54985/peeref.2306p8383322.

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Searcy, Stephen W., and Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7568747.bard.

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This project includes two main parts: Development of a “Selective Wavelength Imaging Sensor” and an “Adaptive Classifiery System” for adaptive imaging and sorting of agricultural products respectively. Three different technologies were investigated for building a selectable wavelength imaging sensor: diffraction gratings, tunable filters and linear variable filters. Each technology was analyzed and evaluated as the basis for implementing the adaptive sensor. Acousto optic tunable filters were found to be most suitable for the selective wavelength imaging sensor. Consequently, a selectable wave
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Saiwan, Chintana. Mesostructural ultra thin silica film formation through admicellar technique. Chulalongkorn University, 2003. https://doi.org/10.58837/chula.res.2003.78.

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Thin silica film formation from adsolubilization of inorganic silica precursors, letra-n-butoxysilane (TBOS) and tetraethyl orthosilicate (TBOS) in admicellar polymerization were studies. Cetyltrimethylammonium bromide (CTAB) at 700 uM and octyl phenol ethoxylate or Triton X-100 at 200 uM were used as surfactant templates for adsolubilizates TBOS and TBOS respectively. For the TBOS/CTAB system, the atomic force microscopy (AFM) topographic images showed fibers, hemispheres and flat layers existing along with increase of surface coverge on the mica surface as the TBOS feed concentration was inc
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Seginer, Ido, Louis D. Albright, and Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7575271.bard.

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Background Early detection and identification of faulty greenhouse operation is essential, if losses are to be minimized by taking immediate corrective actions. Automatic detection and identification would also free the greenhouse manager to tend to his other business. Original objectives The general objective was to develop a method, or methods, for the detection, identification and accommodation of faults in the greenhouse. More specific objectives were as follows: 1. Develop accurate systems models, which will enable the detection of small deviations from normal behavior (of sensors, contro
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