Academic literature on the topic 'Image guide'

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Journal articles on the topic "Image guide"

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Liao, Ronghao, Guangyuan Wu, and Yuheng Wu. "Adaptive window-based multispectral image demosaicking method using pseudo-panchromatic image." Laser Physics Letters 22, no. 4 (2025): 045202. https://doi.org/10.1088/1612-202x/adbd1a.

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Abstract Multispectral image demosaicking is a challenging problem for single-sensor multispectral imaging systems with the multispectral filter array. In this paper, we propose an adaptive window-based multispectral image demosaicking method using a pseudo-panchromatic image (PPI). This method aims to use the spectral correlation between channels to recover the missing pixels in the mosaic image. First, a set of weighted average filters based on adaptive sparse windows is used to generate a PPI from the mosaic image. Then, the guided filtering window is adaptively adjusted according to the di
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Berry, E., M. Cuppone, S. Porada, et al. "Personalised image-based templates for intra-operative guidance." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 219, no. 2 (2005): 111–18. http://dx.doi.org/10.1243/095441105x9273.

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The high rate of unplanned perforation, poor fixation, and nerve injury with freehand pedicle screw insertion has led to the use of image-guided navigation systems. Although these improve accuracy, they have several drawbacks that could be overcome by using image-based drilling guide templates. The accuracy of such templates was tested in a cadaveric study of screw placement in the lumbar, thoracic, and cervical regions of the spine. The dimensional stability with autoclaving of duraform polyamide, to be used for manufacturing the guides, was first determined using test specimens. Computed tom
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Li, Zhan, Jianhang Zhang, Ruibin Zhong, et al. "Lightweight and Efficient Image Dehazing Network Guided by Transmission Estimation from Real-World Hazy Scenes." Sensors 21, no. 3 (2021): 960. http://dx.doi.org/10.3390/s21030960.

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In this paper, a transmission-guided lightweight neural network called TGL-Net is proposed for efficient image dehazing. Unlike most current dehazing methods that produce simulated transmission maps from depth data and haze-free images, in the proposed work, guided transmission maps are computed automatically using a filter-refined dark-channel-prior (F-DCP) method from real-world hazy images as a regularizer, which facilitates network training not only on synthetic data, but also on natural images. A double-error loss function that combines the errors of a transmission map with the errors of
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Ishizaka, Hiroshi. "Directable Needle Guide: Efficacy for Image-Guided Percutaneous Interventions." ISRN Radiology 2013 (November 27, 2013): 1–3. http://dx.doi.org/10.5402/2013/516941.

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Diagnostic and therapeutic image-guided percutaneous interventions have become increasingly important in the clinical management of various conditions. Though precise needle placement via a safe route is essential for successful percutaneous interventions, it is often difficult in cases of deeply situated, small lesions. The present paper describes the efficacy of the directable needle guide (DNG), which allows manipulation of the direction of a fine needle within organs. The DNG was used in patients for needle biopsy of hepatic (n=26) and splenic (n=1) lesions and for percutaneous ethanol inj
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Zhang, Yuan, Peng Wang, Ji Xiang Li, Shi Wei Yin, and Jing Lei Xin. "Path Segmentation Algorithm for Automatic Guided Vehicle Based on Machine Vision." Key Engineering Materials 431-432 (March 2010): 330–33. http://dx.doi.org/10.4028/www.scientific.net/kem.431-432.330.

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A novel path segmentation algorithm for automatic guided vehicle is designed by machine vision technology. Firstly, wiener filter based on parameter estimate is used to restore path image in HIS model. Secondly, mutivariate stepwise fitted regression method is adopted to smooth guide line edge of path image. It can be concluded that path guide line of automatic guided vehicle under industry surrounding may be recognized accurately through this way.
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Chen, Bowei, Li Chen, Umara Khalid, and Shuai Zhang. "IFSrNet: Multi-Scale IFS Feature-Guided Registration Network Using Multispectral Image-to-Image Translation." Electronics 13, no. 12 (2024): 2240. http://dx.doi.org/10.3390/electronics13122240.

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Multispectral image registration is the process of aligning the spatial regions of two images with different distributions. One of the main challenges it faces is to resolve the severe inconsistencies between the reference and target images. This paper presents a novel multispectral image registration network, Multi-scale Intuitionistic Fuzzy Set Feature-guided Registration Network (IFSrNet), to address multispectral image registration. IFSrNet generates pseudo-infrared images from visible images using Cycle Generative Adversarial Network (CycleGAN), which is equipped with a multi-head attenti
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Ji, Jingyu, Yuhua Zhang, Zhilong Lin, et al. "Fusion of Infrared and Visible Images Based on Optimized Low-Rank Matrix Factorization with Guided Filtering." Electronics 11, no. 13 (2022): 2003. http://dx.doi.org/10.3390/electronics11132003.

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In recent years, image fusion has been a research hotspot. However, it is still a big challenge to balance the problems of noiseless image fusion and noisy image fusion. In order to improve the weak performance and low robustness of existing image fusion algorithms in noisy images, an infrared and visible image fusion algorithm based on optimized low-rank matrix factorization with guided filtering is proposed. First, the minimized error reconstruction factorization is introduced into the low-rank matrix, which effectively enhances the optimization performance, and obtains the base image with g
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Karthikesh, Madhumithra S., and Xinmai Yang. "Photoacoustic image-guided interventions." Experimental Biology and Medicine 245, no. 4 (2019): 330–41. http://dx.doi.org/10.1177/1535370219889323.

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Photoacoustic imaging has demonstrated its potential for diagnosis over the last few decades. In recent years, its unique imaging capabilities, such as detecting structural, functional and molecular information in deep regions with optical contrast and ultrasound resolution, have opened up many opportunities for photoacoustic imaging to be used during image-guided interventions. Numerous studies have investigated the capability of photoacoustic imaging to guide various interventions such as drug delivery, therapies, surgeries, and biopsies. These studies have demonstrated that photoacoustic im
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Alam, Muhammad S., Farhan B. Mohamed, and AKM B. Hossain. "Self-Localization of Guide Robots Through Image Classification." Baghdad Science Journal 21, no. 2(SI) (2024): 0832. http://dx.doi.org/10.21123/bsj.2024.9648.

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The field of autonomous robotic systems has advanced tremendously in the last few years, allowing them to perform complicated tasks in various contexts. One of the most important and useful applications of guide robots is the support of the blind. The successful implementation of this study requires a more accurate and powerful self-localization system for guide robots in indoor environments. This paper proposes a self-localization system for guide robots. To successfully implement this study, images were collected from the perspective of a robot inside a room, and a deep learning system such
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Gao, Guxue, Huicheng Lai, and Zhenhong Jia. "Unsupervised Image Dedusting via a Cycle-Consistent Generative Adversarial Network." Remote Sensing 15, no. 5 (2023): 1311. http://dx.doi.org/10.3390/rs15051311.

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In sand–dust weather, the quality of the image is seriously degraded, which affects the ability of advanced applications to image using remote sensing. To improve the image quality and enhance the performance of image dedusting, we propose an end-to-end cyclic generative adversarial network (D-CycleGAN) for image dedusting, which does not require pairs of sand–dust images and corresponding ground truth images for training. In other words, we train the network in an unpaired way. Specifically, we designed a jointly optimized guided module (JOGM), comprised of the sandy guided synthesis module (
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Dissertations / Theses on the topic "Image guide"

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Goodenow, Daniel P. "A reference guide to JPEG compression /." Online version of thesis, 1993. http://hdl.handle.net/1850/11714.

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Dean, Chad E. Vosters Nathan P. "Update of the Navy Contract Writing Guide /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Dec%5FDean%5FMBA.pdf.

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Thesis (M.B.A.)--Naval Postgraduate School, December 2003.<br>"MBA professional report"--Cover. Thesis advisor(s): E. Marshall Engelbeck, Jeffrey Cuskey. Includes bibliographical references (p. 19-22). Also available online.
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Al-Zoubi, Asem S. "Rectangular dielectric resonator antennas fed by dielectric image guide /." Full text available from ProQuest UM Digital Dissertations, 2008. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?index=0&did=1799142881&SrchMode=1&sid=4&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1257878793&clientId=22256.

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Thesis (Ph.D.)--University of Mississippi, 2008.<br>Typescript. Vita. "December 2008." Dissertation director: Ahmed A. Kishk Includes bibliographical references (leaves 142-148). Also available online via ProQuest to authorized users.
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Dobbs, Andrew L. "A program manager's guide for software cost estimating." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Dec%5FDobbs.pdf.

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Ko, Eunbyol. "Music and Image a performer's guide to Maurice Ravel's Miroirs /." Cincinnati, Ohio : University of Cincinnati, 2007. http://www.ohiolink.edu/etd/view.cgi?acc%5Fnum=ucin1172781745.

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Thesis (Dr. of Musical Arts)--University of Cincinnati, 2007.<br>Title from electronic thesis title page (viewed Apr.3, 2007). Includes abstract. Keywords: Ravel; Miroirs; Performer's Guide; Image; Impressionism; Symbolism; Eunbyol Ko Includes bibliographical references.
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Isbel, Joanne. ""The good friend guide" : a group social skills intervention /." [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18047.pdf.

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Paul, Dominique-Lynda. "Contribution à la modélisation des principaux éléments passifs en technologie guide image." Brest, 1990. http://www.theses.fr/1990BRES2002.

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Ce travail a pour objet l'etude et la modelisation des elements passifs de base intervenant dans la realisation de filtres en technologie guide image. Ainsi, apres avoir examine les approches actuellement disponibles concernant cette structure, l'auteur s'est interesse a la modelisation de resonateurs annulaires fonctionnant en modes hybrides d'ordres azimutaux eleves et plus particulierement au probleme du couplage entre ces deux structures. Si les modeles utilises concordent tres bien avec l'experience dans la bande basse des hyperfrequences (bande x), l'etude experimentale en ondes millimet
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Ko, Eunbyol. "Music and Image: A Performer’s Guide to Maurice Ravel’s Miroirs." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1172781745.

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Toutain, Serge. "Contribution à l'étude du guide image mise en évidence d'ondes à fuites." Lille 1, 1986. http://www.theses.fr/1986LIL10157.

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Etude critique des différentes approches théoriques et proposition d'un nouveau modèle base sur la caractérisation de discontinuités en guide ouvert en association avec la méthode de la résonance transverse. Cette méthode montre la possibilité de création d'ondes de fuite et explicite les limitations d'utilisation liées à ce phénomène. Etude de sous-ensembles tels que coupleurs de proximité et résonateurs diélectriques tubulaires
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Toutain, Serge. "Contribution à l'étude du guide image mise en évidence d'ondes à fuites /." Grenoble 2 : ANRT, 1986. http://catalogue.bnf.fr/ark:/12148/cb37601616n.

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Books on the topic "Image guide"

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Miller, Howard W. Image processing system guide. Information Technology Institute, 1994.

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Center, Burchfield-Penney Art, and Holmes Elementary School (Town of Tonawanda, N.Y.), eds. Image & word: Curriculum guide. Burchfield-Penney Art Center, 1998.

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Toennies, Klaus D. Guide to Medical Image Analysis. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2751-2.

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Toennies, Klaus D. Guide to Medical Image Analysis. Springer London, 2017. http://dx.doi.org/10.1007/978-1-4471-7320-5.

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P, Ford John, United States. National Aeronautics and Space Administration., and Jet Propulsion Laboratory (U.S.), eds. Guide to Magellan image interpretation. National Aeronautics and Space Administration, 1993.

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S, Awwal Abdul A., ed. Field guide to image processing. SPIE Press, 2012.

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Bovik, Alan C. The essential guide to image processing. Academic Press, 2009.

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Becker, Carolyn Black. Reflections body image program: Facilitator guide. Oxford University Press, 2011.

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1958-, Bovik Alan C., ed. The essential guide to video processing. 2nd ed. Academic Press/Elsevier, 2009.

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1958-, Bovik Alan C., ed. The essential guide to video processing. 2nd ed. Academic Press/Elsevier, 2009.

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Book chapters on the topic "Image guide"

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Weik, Martin H. "image guide." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_8646.

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Calbet, Albert. "Practical Plankton Image Guide." In The Amateur Plankton Researcher's Practical Guide. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-80248-5_8.

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Beyerer, Jürgen, and Michael Heizmann. "Image evaluation and interpretation." In Technology Guide. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88546-7_29.

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Toennies, Klaus D. "Image Enhancement." In Guide to Medical Image Analysis. Springer London, 2017. http://dx.doi.org/10.1007/978-1-4471-7320-5_4.

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Markelov, Andrey. "Image Management." In Certified OpenStack Administrator Study Guide. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2125-9_4.

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Toennies, Klaus D. "Image Enhancement." In Guide to Medical Image Analysis. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2751-2_4.

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Lee, Chen-Yu, Von-Wun Soo, and Yi-Ting Fu. "An Image Annotation Guide Agent." In Intelligent Agents and Multi-Agent Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-32128-6_12.

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Salomon, David. "Image Compression." In A Guide to Data Compression Methods. Springer New York, 2002. http://dx.doi.org/10.1007/978-0-387-21708-6_4.

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Meacham, Kenneth S. "Image Production." In The MRI Study Guide for Technologists. Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-2534-8_4.

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Burns, M. Shane. "Image Processing." In A Practical Guide to Observational Astronomy. CRC Press, 2021. http://dx.doi.org/10.1201/9781003203919-5.

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Conference papers on the topic "Image guide"

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Lin, Xiangru, Shenghua Zhong, Yan Liu, and Gong Chen. "Sal-Guide Diffusion: Saliency Maps Guide Emotional Image Generation through Adapter." In 2024 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2024. http://dx.doi.org/10.1109/icme57554.2024.10687968.

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Luan, Xin, Huijie Fan, Qiang Wang, Yu Guan, and Yandong Tang. "PGFormer: Prompt guide network for underwater image enhancement." In 2025 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2025. https://doi.org/10.1109/cec65147.2025.11042986.

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Liang, Wendi, Yihan Wen, Zewei Wang, Jianuo Jiang, Tat-Ming Lok, and Guanchong Niu. "Enhanced Facial Restoration with Misinformation-Filtered Guide-Denoising Diffusion Probabilistic Models." In 2024 IEEE International Conference on Image Processing (ICIP). IEEE, 2024. http://dx.doi.org/10.1109/icip51287.2024.10648142.

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Li, Xia, Tao Han, Xudong Fan, and Wei Zhao. "Chinese Traffic Guide Panel Text Detection Based on Pixel Aggregation." In 2024 2nd International Conference on Algorithm, Image Processing and Machine Vision (AIPMV). IEEE, 2024. http://dx.doi.org/10.1109/aipmv62663.2024.10692256.

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Li, Qinghang, Lucia Zamorano, Zhaowei Jiang, Hans J. Holdener, Paul King, and Fernando Diaz. "Interactive Image Guided Surgery: The Experience of Wayne State University." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-0323.

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Abstract Stereotactic localization using multimodality of medical images (such as CT or MRI) is increasingly employed to guide neurosurgical procedures 1,2,3,5. This technique provides highly accurate intraoperative localization and allows the surgeon to resect a lesion in its entirety while sparing critical areas of the brain. Image guided interactive frameless stereotaxy has been successfully applied to intracranial surgery and spine surgery. It has demonstrated a potential for reducing both operative time and morbidity. In this paper we described our interactive image guided surgery system
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Nassif, M., E. Dupont, H. Al Hajjar, and F. Lamarque. "Endoscopic additive manufacturing through image-guide *." In 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2019. http://dx.doi.org/10.1109/aim.2019.8868505.

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Powell, John W. "Image hologram as visual light guide." In IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, edited by Stephen A. Benton. SPIE, 1994. http://dx.doi.org/10.1117/12.172629.

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Li, Yao, Hideo Kosaka, Ting Wang, Shigeru Kawai, and Kenichi Kasahara. "Applications of Fiber Image Guides to Bit-parallel Optical Interconnections." In Optical Computing. Optica Publishing Group, 1995. http://dx.doi.org/10.1364/optcomp.1995.othb5.

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A fiber image guide, whether being a coherent fiber bundle or a single gradientindex fiber, has been known useful to transmit image signals. Such a fiber image guide has been successfully used in various medical endoscopic and industrial inspection applications [1,2]. High resolution analog images can be obtained for transmission distances ranging several meters or longer. Depending on used fiber materials, relative low loss transmission can be achieved at certain transmission wavelengths.
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Zhang, Jun, Peng Chuan Yang, Ze Bin Chen, Wen Long Hu, and Kun Wang. "Reliable Crack Depth Monitoring based on Guided Wave through Image Dielectric Guide." In 2021 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM). IEEE, 2021. http://dx.doi.org/10.1109/iwem53379.2021.9790689.

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Chen, Jiajing, Minmin Yang, and Senem Velipasalar. "Letting 3D Guide the Way: 3D Guided 2D Few-Shot Image Classification." In 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2024. http://dx.doi.org/10.1109/wacv57701.2024.00271.

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Reports on the topic "Image guide"

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Bigger, Rory, Benoît Blaysat, Christofer Boo, et al. A Good Practices Guide for Digital Image Correlation. Edited by Elizabeth Jones and Mark Iadicola. International Digital Image Correlation Society, 2018. http://dx.doi.org/10.32720/idics/gpg.ed1.

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Bigger, Rory, Benoît Blaysat, Christofer Boo, et al. A Good Practices Guide for Digital Image Correlation. Edited by Elizabeth Jones and Mark Iadicola. International Digital Image Correlation Society, 2018. http://dx.doi.org/10.32720/idics/gpg.ed1/print.format.

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Garris, Michael D., Craig I. Watson, R. Michael McCabe, and Charles L. Wilson. User's guide to NIST fingerprint image software (NFIS). National Institute of Standards and Technology, 2001. http://dx.doi.org/10.6028/nist.ir.6813.

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Watson, Craig I., Michael D. Garris, Elham Tabassi, et al. User's guide to NIST biometric image software (NBIS). National Institute of Standards and Technology, 2007. http://dx.doi.org/10.6028/nist.ir.7392.

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Hahn, Charles D., Jerrell R. Ballard, and Jr. Image Data Acquisition System User's Guide and Technical Documentation. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada399452.

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Singh, Anjali. Ultimate Guide to Automated Cell Counter: Plus Purchasing Tips. ConductScience, 2022. http://dx.doi.org/10.55157/cs20220614.

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An automated cell counter is a machine that uses either image analysis or electrical impedance principles to count cells automatically. The electrical impedance principle involves measuring changes in electrical resistance as cells pass through an aperture, while the light-scattering principle observes how cells scatter light when exposed to it. There are four main types of automated cell counting methods: Coulter Counter, Image Analysis Method, Flow Cytometry, and Stereological Cell Counting. Each method has its benefits and limitations, offering faster and more objective cell counting compar
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Max, C. E. ,. LLNL. Image improvement from a sodium-layer laser guide star adaptive optics system. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/305943.

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Whitus, B. R., J. S. Goddard, W. B. Jatko, W. W. Manges, and D. A. Treece. Low-Speed Fingerprint Image Capture System User`s Guide, June 1, 1993. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10179252.

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Watson, Craig I., Michael D. Garris, Elham Tabassi, et al. User's guide to export controlled distribution of NIST biometric image software (NBIS-EC). National Institute of Standards and Technology, 2007. http://dx.doi.org/10.6028/nist.ir.7391.

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CT Tumor Volume Change for Advanced Disease, Clinically Feasible Profile. Chair Ritu Gill, Rudresh Jarecha, and Ehsan Samei. Radiological Society of North America (RSNA) / Quantitative Imaging Biomarkers Alliance (QIBA), 2022. http://dx.doi.org/10.1148/qiba/20220721.

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A QIBA Profile is an implementation guide to generate a biomarker with an effective level of performance, mostly by reducing variability and bias in the measurement. The expected performance is expressed as Claims (Section 1.2). To achieve those claims, Actors (Scanners, Technologists, Physicists, Radiologists, Reconstruction Software, and Image Analysis Tools) must meet the Checklist Requirements (Section 3) covering Periodic QA, Subject Handling, Image Data Acquisition, Image Data Reconstruction, Image QA, and Image Analysis. This Profile is at the Clinically Feasible stage (qibawiki.rsna.or
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