Relevant bibliographies by topics / Image processing Image processing

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

Academic literature on the topic 'Image processing Image processing'

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

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Journal articles on the topic "Image processing Image processing"

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Patel, Bindiya, Dr Pankaj Kumar Mishra, and Prof Amit Kolhe. "Lung Cancer Detection on CT Images by using Image Processing." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 2525–31. http://dx.doi.org/10.31142/ijtsrd11674.

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G., Shete S., and Ghadge Nagnath G. "Image Processing in MATLAB 9.3." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (2018): 925–29. http://dx.doi.org/10.31142/ijtsrd9545.

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Bardhan, Yash, Tejas A. Fulzele, and Prabhat Ranjan Shekhar Upadhyay Prof V. D. Bharate. "Emotion Recognition using Image Processing." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 1523–26. http://dx.doi.org/10.31142/ijtsrd10995.

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Gaikwad, Anil P., and Bhagyashri R. More. "Digital Watermarking for Image Processing." Paripex - Indian Journal Of Research 2, no. 1 (2012): 65–67. http://dx.doi.org/10.15373/22501991/jan2013/24.

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Goto, Mitsunori. "8. Image Processing Using ImageJ." Japanese Journal of Radiological Technology 75, no. 7 (2019): 688–92. http://dx.doi.org/10.6009/jjrt.2019_jsrt_75.7.688.

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Krupa, R. Rathna. "An Overview of Image Hiding Techniques in Image Processing." SIJ Transactions on Computer Science Engineering & its Applications (CSEA) 02, no. 02 (2014): 01–05. http://dx.doi.org/10.9756/sijcsea/v2i2/0202090202.

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Лун, Сюй, Xu Long, Йан Йихуа, Yan Yihua, Чэн Цзюнь, and Cheng Jun. "Guided filtering for solar image/video processing." Solar-Terrestrial Physics 3, no. 2 (2017): 9–15. http://dx.doi.org/10.12737/stp-3220172.

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A new image enhancement algorithm employing guided filtering is proposed in this work for enhancement of solar images and videos, so that users can easily figure out important fine structures imbedded in the recorded images/movies for solar observation. The proposed algorithm can efficiently remove image noises, including Gaussian and impulse noises. Meanwhile, it can further highlight fibrous structures on/beyond the solar disk. These fibrous structures can clearly demonstrate the progress of solar flare, prominence coronal mass emission, magnetic field, and so on. The experimental results pr
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Peng, Er Bao, and Guo Tong Zhang. "Image Processing Technology Research of On-Line Thread Processing." Advanced Materials Research 908 (March 2014): 555–58. http://dx.doi.org/10.4028/www.scientific.net/amr.908.555.

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The paper introduced image processing technology based on image segmentation about on-line threads images, and describes in detail image processing technology from image preprocessing, image gmentation,and threaded parameter test. Threaded images of on-line processing parts obtained are introduced as the key technology, Target edge extraction process from the segmented image are also recounted. At last, this article shows a comparison between actual machining parameters of screw thread and the standard parameter , provides the criterion for error compensation.
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Abdulhamid, Mohanad, and Lwanga Wanjira. "Image Processing Techniques Based Crowd Size Estimation." Radioelectronics. Nanosystems. Information Technologies 12, no. 3 (2020): 407–14. http://dx.doi.org/10.17725/rensit.2020.12.407.

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Image processing algorithms are the basis for image computer analysis and machine Vision. Employing a theoretical foundation, image algebra, and powerful development tools, Visual C++, Visual Fortran, Visual Basic, and Visual Java, high-level and efficient computer vision techniques have been developed. This paper analyzes different image processing algorithms by classifying them in logical groups. In addition, specific methods are presented illustrating the application of such techniques to the real world images. In most cases more than one method is used. This allows a basis for comparison o
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Legland, David, and Marie-Françoise Devaux. "ImageM: a user-friendly interface for the processing of multi-dimensional images with Matlab." F1000Research 10 (April 30, 2021): 333. http://dx.doi.org/10.12688/f1000research.51732.1.

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Modern imaging devices provide a wealth of data often organized as images with many dimensions, such as 2D/3D, time and channel. Matlab is an efficient software solution for image processing, but it lacks many features facilitating the interactive interpretation of image data, such as a user-friendly image visualization, or the management of image meta-data (e.g. spatial calibration), thus limiting its application to bio-image analysis. The ImageM application proposes an integrated user interface that facilitates the processing and the analysis of multi-dimensional images within the Matlab env
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Dissertations / Theses on the topic "Image processing Image processing"

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Murphy, Brian P. "Image processing techniques for acoustic images." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/26585.

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Approved for public release; distribution is unlimited<br>The primary goal of this research is to test the effectiveness of various image processing techniques applied to acoustic images generated in MATLAB. The simulated acoustic images have the same characteristics as those generated by a computer model of a high resolution imaging sonar. Edge Detection and Segmentation are the two image processing techniques discussed in this study. The two methods tested are a modified version of the Kalman filtering and median filtering
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Khan, Preoyati. "Cluster Based Image Processing for ImageJ." Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1492164847520322.

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Sahandi, Reza. "Image Processing." Thesis, University of Bradford, 1987. http://eprints.bournemouth.ac.uk/9884/.

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Kim, Younhee. "Towards lower bounds on distortion in information hiding." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3403.

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Thesis (Ph.D.)--George Mason University, 2008.<br>Vita: p. 133. Thesis directors: Zoran Duric, Dana Richards. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science. Title from PDF t.p. (viewed Mar. 17, 2009). Includes bibliographical references (p. 127-132). Also issued in print.
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Gardiner, Bryan. "Hexagonal image processing." Thesis, University of Ulster, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535794.

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Hu, Nan. "SECURE IMAGE PROCESSING." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_theses/448.

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In todays heterogeneous network environment, there is a growing demand for distrusted parties to jointly execute distributed algorithms on private data whose secrecy needed to be safeguarded. Platforms that support such computation on image processing purposes are called secure image processing protocols. In this thesis, we propose a new security model, called quasi information theoretic (QIT) security. Under the proposed model efficient protocols on two basic image processing algorithms linear filtering and thresholding are developed. For both problems we consider two situations: 1) only tw
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Zhang, Yi. "Blur Image Processing." University of Dayton / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448384360.

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Ouellet, Michel. "Image processing architectures." Thesis, University of Ottawa (Canada), 1986. http://hdl.handle.net/10393/5068.

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Yallop, Marc Richard. "Image processing techniques for passive millimetre wave images." Thesis, University of Reading, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409545.

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AbouRayan, Mohamed. "Real-time Image Fusion Processing for Astronomical Images." University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1461449811.

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Books on the topic "Image processing Image processing"

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Acharya, Tinku. Image Processing. John Wiley & Sons, Ltd., 2005.

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Petrou, Maria, and Pedro García Sevilla. Image Processing. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/047003534x.

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Acharya, Tinku, and Ajoy K. Ray. Image Processing. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471745790.

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Kayyali, Mohamed S. Digital image processing. Facultad de Ingenieria y Arquitectura de la Universidad de San Martin de Porres, 2002.

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Collet, Christophe. Multivariate image processing. ISTE, 2009.

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Mann, Steve. Intelligent image processing. IEEE, 2002.

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Biomedical image processing. Springer, 2011.

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Digital image processing. Prentice Hall, 1996.

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1954-, Woods Richard E., ed. Digital image processing. Addison-Wesley Pub. Co, 1993.

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Leberl, Franz W. Radargrammetric image processing. Artech House, 1990.

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Book chapters on the topic "Image processing Image processing"

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Wolff, Robert S., and Larry Yaeger. "Images and Image Processing." In Visualization of Natural Phenomena. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4684-0646-7_1.

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Corke, Peter. "Images and Image Processing." In Springer Tracts in Advanced Robotics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54413-7_12.

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Trauth, Martin H. "Image Processing." In MATLAB® Recipes for Earth Sciences. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46244-7_8.

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Oliva, Diego, Mohamed Abd Elaziz, and Salvador Hinojosa. "Image Processing." In Metaheuristic Algorithms for Image Segmentation: Theory and Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12931-6_4.

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Greenberg, Richard. "Image Processing." In Internet Links for Science Education. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5909-2_13.

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Koprowski, Robert. "Image Processing." In Processing Medical Thermal Images. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61340-6_4.

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Ng, Jason, and Jeffrey J. Goldberger. "Image Processing." In Practical Signal and Image Processing in Clinical Cardiology. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-515-4_9.

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Ben-Ari, Mordechai, and Francesco Mondada. "Image Processing." In Elements of Robotics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62533-1_12.

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Olson, Tim. "Image Processing." In Applied Fourier Analysis. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7393-4_8.

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Koprowski, Robert. "Image Processing." In Processing of Hyperspectral Medical Images. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50490-2_4.

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Conference papers on the topic "Image processing Image processing"

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Prachetaa, R., and B. P. C. Rao. "Image processing for NDT images." In 2010 International Conference on Signal and Image Processing (ICSIP). IEEE, 2010. http://dx.doi.org/10.1109/icsip.2010.5697463.

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Belousov, O. I., and Z. M. Albekova. "Image processing." In Научные тенденции: Вопросы точных и технических наук. ЦНК МОАН, 2018. http://dx.doi.org/10.18411/spc-12-08-2018-03.

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"Image processing." In 2015 International Symposium on Advanced Computing and Communication (ISACC). IEEE, 2015. http://dx.doi.org/10.1109/isacc.2015.7377338.

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Skelton, Jerry P., Anthony P. Cavallo, and Julie Peternick. "Document Image Processing The New Image Processing Frontier." In 33rd Annual Techincal Symposium, edited by Andrew G. Tescher. SPIE, 1990. http://dx.doi.org/10.1117/12.962346.

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Blake, Richard E. "Digital image processing of underwater images." In 2006 IEEE US/EU Baltic International Symposium on Integrated Ocean Observation Syst. for Managing Global & Regional Ecosys.Marine Resch. IEEE, 2006. http://dx.doi.org/10.1109/baltic.2006.7266195.

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Huot, Etienne, Jean-Paul Rudant, Nicholas Classeau, et al. "Image processing for multitemporal SAR images." In Remote Sensing, edited by Francesco Posa. SPIE, 1998. http://dx.doi.org/10.1117/12.331352.

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Jones, Katharine J. "Curvelet image processing of Landsat images." In Aerospace/Defense Sensing, Simulation, and Controls, edited by Harold H. Szu, David L. Donoho, Adolf W. Lohmann, William J. Campbell, and James R. Buss. SPIE, 2001. http://dx.doi.org/10.1117/12.421211.

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Nestinger, Stephen S., and Harry H. Cheng. "Interactive Image Processing and Manipulation." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35741.

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Electronic imaging informatics spans a diverse range of applications. These applications would benefit from an interpretive imaging platform, which allows dynamic manipulation and processing of electronic images. Ch is an embeddable C/C++ interpreter that provides an interpretive platform for C/C++ based scripts and programs. Combining Ch with ImageMagick provides the functionality for rapid development of user defined image manipulation and processing applications and scripts. The presented Ch ImageMagick package provides users with the ability to interpretively execute C code based on the Im
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Ergin, F. Go¨khan, Bo Beltoft Watz, Kaspars Erglis, and Andrejs Cebers. "Poor-Contrast Particle Image Processing in Microscale Mixing." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24900.

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Particle image velocimetry (PIV) often employs the cross-correlation function to identify average particle displacement in an interrogation window. The quality of correlation peak has a strong dependence on the signal-to-noise ratio (SNR), or contrast of the particle images. In fact, variable-contrast particle images are not uncommon in the PIV community: Strong light sheet intensity variations, wall reflections, multiple scattering in densely-seeded regions and two-phase flow applications are likely sources of local contrast variations. In this paper, we choose an image pair obtained in a mic
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Silva, Jose Ivson S., Gabriel G. Carvalho, Marcel Santana Santos, et al. "A Deep Learning Approach to Mobile Camera Image Signal Processing." In Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/sibgrapi.est.2020.13016.

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The quality of the images obtained from mobile cameras has been an important feature for modern smartphones. The camera Image Signal Processing (ISP) is a significant procedure when generating high-quality images. However, the existing algorithms in the ISP pipeline need to be tuned according to the physical resources of the image capture, limiting the final image quality. This work aims at replacing the camera ISP pipeline with a deep learning model that can better generalize the procedure. A Deep Neural Network based on the UNet architecture was employed to process RAW images into RGB. Pre-p
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Reports on the topic "Image processing Image processing"

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Meitzler, Thomas, Grant Gerhart, Harpreet Singh, et al. Image Processing. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada597230.

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Rosenfeld, Azriel. Parallel Image Processing and Image Understanding. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada183223.

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Rosenfeld, A. Parallel Image Processing and Image Understanding. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada159029.

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Van Eeckhout, E., P. Pope, and L. Balick. Image processing technology. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/262986.

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Chartrand, Rick. Image processing and reconstruction. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1044085.

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Khoury, Jehad, and Mark Cronin-Golomb. Real Time Holographic Image Processing. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada408111.

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Giardina, Charles R., and Edward R. Dougherty. Image Processing Language. Phase 1. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada204232.

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George, Nicholas, and David M. Berfanger. Halftoning and Image Processing Algorithms. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada369915.

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Winkler, Robert P., and Chris Schlesiger. Image Processing REST Web Services. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada577345.

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Allard, Anthony, Edward Dugan, and Alan Jacobs. Image Processing Techniques for Lateral Migration Radiography Land Mine Images. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada384546.

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