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Relevant bibliographies by topics / Image analysis techniques

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Academic literature on the topic 'Image analysis techniques'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Image analysis techniques"

1

Kasturi, Rangachar, and Lawrence O’Gorman. "Document image analysis techniques." Machine Vision and Applications 5, no. 3 (1992): 141–42. http://dx.doi.org/10.1007/bf02626993.

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Kasturi, Rangachar, and Lawrence O'Gorman. "Document image analysis techniques." Machine Vision and Applications 6, no. 2-3 (1993): 67–68. http://dx.doi.org/10.1007/bf01211931.

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Chandrakala, M. "Image Analysis of Sauvola and Niblack Thresholding Techniques." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 2353–57. http://dx.doi.org/10.22214/ijraset.2021.34569.

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Image segmentation is a critical problem in computer vision and other image processing applications. Image segmentation has become quite challenging over the years due to its widespread use in a variety of applications. Image thresholding is a popular image segmentation technique. The segmented image quality is determined by the techniques used to determine the threshold value.A locally adaptive thresholding method based on neighborhood processing is presented in this paper. The performance of locally thresholding methods like Niblack and Sauvola was demonstrated using real-world images, print

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Goel, Mukta, and Rohit Goel. "Comparative Analysis of Hybrid Transform Domain Image Steganography Embedding Techniques." International Journal of Scientific Research 2, no. 2 (2012): 388–90. http://dx.doi.org/10.15373/22778179/feb2013/131.

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G., Nirmalapriya. "Comparative Analysis of Underwater and under Exposed Image Enhancement Techniques." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 192–200. http://dx.doi.org/10.5373/jardcs/v12sp7/20202098.

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Lester, E., M. Allen, M. Cloke, and N. J. Miles. "Image analysis techniques for petrographic analysis." Fuel Processing Technology 36, no. 1-3 (1993): 17–24. http://dx.doi.org/10.1016/0378-3820(93)90005-o.

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Vasiljevic, Ivana, Dinu Dragan, Ratko Obradovic, and Veljko Petrović. "Analysis of Compression Techniques for Stereoscopic Images." SPIIRAS Proceedings 6, no. 61 (2018): 197–220. http://dx.doi.org/10.15622/sp.61.8.

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Virtual Reality (VR) and Augmented Reality (AR) Head-Mounted Displays (HMDs) have been emerging in the last years and they are gaining an increased popularity in many industries. HMDs are generally used in entertainment, social interaction, education, but their use for work is also increasing in domains such as medicine, modeling and simulation. Despite the recent release of many types of HMDs, two major problems are hindering their widespread adoption in the mainstream market: the extremely high costs and the user experience issues [1]. The illusion of a 3D display in HMDs is achieved with a

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Falahi, Mr Moayad Al, and Dr Janaki Sivakumar. "Comparitive Analysis and Findings on Dct & Lbg Compression Techniques." International Journal of Engineering and Computer Science 9, no. 06 (2020): 25075–84. http://dx.doi.org/10.18535/ijecs/v9i06.4463.

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The main objective of this project is to develop an application to find the best compression technique to store Muscat College students' photographs in less storage. MATLAB software will be used to develop a Graphical User Interface GUI application and implement two image compression techniques which are lossless compression using the DCT algorithm and lossy compression using the LBG algorithm. The application shall allow the user to select and test a sample image by applying both these techniques for any student image he\she selects in order to compare the results by display the image after c

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Gupta, Rajeev, and Virender Singh. "COMPARATIVE ANALYSIS OF IMAGE RETRIEVAL TECHNIQUES IN CYBERSPACE." International Journal of Students' Research in Technology & Management 8, no. 1 (2020): 01–10. http://dx.doi.org/10.18510/ijsrtm.2020.811.

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Purpose: With the popularity and remarkable usage of digital images in various domains, the existing image retrieval techniques need to be enhanced. The content-based image retrieval is playing a vital role to retrieve the requested data from the database available in cyberspace. CBIR from cyberspace is a popular and interesting research area nowadays for a better outcome. The searching and downloading of the requested images accurately based on meta-data from the cyberspace by using CBIR techniques is a challenging task. The purpose of this study is to explore the various image retrieval tech

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G., Sindhu Madhuri, and Indra Gandhi M. P. "New Image Registration Techniques: Development and Comparative Analysis." International Journal of Emerging Research in Management and Technology 6, no. 7 (2018): 146. http://dx.doi.org/10.23956/ijermt.v6i7.204.

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Design and Development of new Image Registration Techniques by using complex mathematical transformation functions are attempted in this research work as there is a requirement for the performance measurement of image registration complexity. The design and development of new image registration techniques are carried out with complex mathematical transformations of Radon and Slant functions due to their importance. And the rotation and translation geometric function are considered for better insight into the complex image registration process. The newly developed image registration techniques

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Dissertations / Theses on the topic "Image analysis techniques"

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Das, Mohammed. "Image analysis techniques for vertebra anomaly detection in X-ray images." Diss., Rolla, Mo. : University of Missouri--Rolla i.e. [Missouri University of Science and Technology], 2008. http://scholarsmine.mst.edu/thesis/MohammedDas_Thesis_09007dcc804c3cf6.pdf.

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Thesis (M.S.)--Missouri University of Science and Technology, 2008.<br>Degree granted by Missouri University of Science and Technology, formerly known as University of Missouri--Rolla. Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed March 24, 2008) Includes bibliographical references (p. 87-88).

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Hertz, Lois. "Robust image thresholding techniques for automated scene analysis." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/15050.

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Leibl, M. A. "Development of image analysis methods applied to collagen imaged with different techniques." Thesis, University of Liverpool, 2018. http://livrepository.liverpool.ac.uk/3023028/.

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This thesis is concerned with the development of analysis strategies for microscopic images of collagen, with the specific aim to minimise as far as possible the need for user input, thereby reducing potential bias. Images of collagen were chosen for analysis, as collagen is an easily available and biologically important molecule, whose organisation in tissues is of great interest due to its pivotal role in biomechanics, and its implication in many disease states. Quantifying its structure and organisation can facilitate better understanding of the physiological and mechanical role of collagen

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Wahab, Ainuddin Wahid Abdul. "Development and analysis of advanced image steganalysis techniques." Thesis, University of Surrey, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540966.

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Tay, ChiangHau. "Algorithms for Tissue Image Analysis using Multifractal Techniques." Thesis, University of Canterbury. Computer Science and Software Engineering, 2012. http://hdl.handle.net/10092/7268.

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Histopathological classification and grading of biopsy specimens play an important role in early cancer detection and prognosis. Nottingham Grading System (NGS) is one of the standard grading procedures used in breast cancer assessment, where three parameters, Mitotic Count (MC), Nuclear Pleomorphism (NP), and Tubule Formation (TF) are used for prognostic information. The grading takes into account the deviations in cellular structures and appearance between tumour and normal cells, using measures such as density, size, colour, and regularity. Cell structures in tissue images are also known to

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Watts, David Terence. "The characterisation of coals using image analysis techniques." Thesis, University of Nottingham, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420359.

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Saunders, Heath G. "Wax distribution quantification using digital image analysis techniques." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-11102009-020230/.

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Vercillo, Richard 1953. "Very high resolution video display memory and base image memory for a radiologic image analysis console." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276707.

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Digital radiographic images are created by a variety of diagnostic imaging modalities. A multi-modality workstation, known as the Arizona Viewing Console (AVC), was designed and built by the University of Arizona Radiology Department to support research in radiographic image processing and image display. Two specially designed VMEbus components, the base image memory and the video display memory, were integrated into the AVC and are the subject of this thesis. The base image memory is a multi-ported, 8 megabyte memory array based on random access memory used for raw image storage. It supports

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Dowler, Shaun Wallace. "Applications of hyperspectral imaging techniques to forensic image analysis." Thesis, University of Auckland, 2010. http://hdl.handle.net/2292/9604.

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Hyperspectral imaging is a form of imaging spectroscopy developed for remote sensing. Hyperspectral algorithms have many useful properties: particularly robustness to scene conditions and the versatility to analyse a wide variety of scene compositions. Hyperspectral techniques are, however, computationally expensive. Imaging spectroscopy has been applied to the analysis of forensic crime scenes in the recent past with some success. The relative simplicity of the techniques used in these studies, however, has created an opportunity to apply hyperspectral techniques to forensic scenes. Thi

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Parera, Morales Ferran. "Advanced image analysis techniques for laboratory experiments on soils." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/671064.

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The understanding of soil behavior is the foundation where the geotechnical engineering is built on. Experimentation is essential to improve this comprehension, and then to be able to translate it into models, theories, or laws. In a proper scientific method, experimentation is present in all phases of model development from conception to validation. This Thesis focuses on laboratory experimentation. The experiments are interesting because they are an abstraction of reality, focusing on the objective of the investigation. The main advantage of laboratory experiments is the high reproducibil

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Books on the topic "Image analysis techniques"

1

Hauta-Kasari, Markku. Computational techniques for spectral image analysis. Lappeenranta University of Technology, 1999.

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O'Gorman, Lawrence. Document image analysis. IEEE Computer Society Press, 1995.

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Biomedical image analysis. CRC Press, 2005.

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Grahn, Hans F., and Paul Geladi, eds. Techniques and Applications of Hyperspectral Image Analysis. John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/9780470010884.

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Hemanth, D. Jude, ed. Artificial Intelligence Techniques for Satellite Image Analysis. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-24178-0.

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Humphrey, Keith. Image analysis: A literature review. PiraInternational, 1995.

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Jong, Steven M. de. Remote sensing image analysis: Including the spatial domain. Kluwer Academic, 2004.

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

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

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Jocelyn, Chanussot, and Chehdi Kacem, eds. Multivariate image processing. ISTE, 2009.

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Book chapters on the topic "Image analysis techniques"

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Granmo, Ole-Christoffer, Frank Eliassen, Olav Lysne, and Viktor S. Wold Eide. "Techniques for Parallel Execution of the Particle Filter." In Image Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45103-x_129.

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Choukroun, Ariel, and Vincent Charvillat. "Bucketing Techniques in Robust Regression for Computer Vision." In Image Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45103-x_81.

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Safar, Maytham H., and Cyrus Shahabi. "Image Description Techniques." In Shape Analysis and Retrieval of Multimedia Objects. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0349-1_1.

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Nelson, Stacy A. C., and Siamak Khorram. "Additional Image Analysis Techniques." In Image Processing and Data Analysis with ERDAS IMAGINE®. CRC Press, 2018. http://dx.doi.org/10.1201/b21969-12.

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Micheloni, Christian, Enver Sangineto, Luigi Cinque, and Gian Luca Foresti. "Improved Statistical Techniques for Multi-part Face Detection and Recognition." In Image Analysis. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02230-2_34.

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Solli, Martin, Mattias Andersson, Reiner Lenz, and Björn Kruse. "Color Measurements with a Consumer Digital Camera Using Spectral Estimation Techniques." In Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_12.

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Richards, John A. "Radiometric Enhancement Techniques." In Remote Sensing Digital Image Analysis. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-88087-2_4.

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Richards, John A. "Supervised Classification Techniques." In Remote Sensing Digital Image Analysis. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-88087-2_8.

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Richards, John A. "Supervised Classification Techniques." In Remote Sensing Digital Image Analysis. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30062-2_8.

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Richards, John A., and Xiuping Jia. "Radiometric Enhancement Techniques." In Remote Sensing Digital Image Analysis. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03978-6_4.

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Conference papers on the topic "Image analysis techniques"

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Chai, Dengfeng, and Qunsheng Peng. "Mesh based automatic image registration." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.652250.

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Ning, Xiaogang, Deren Li, and Weizhi Ye. "Content-based remote sensing image retrieval." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.654549.

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Xu, Haixiang, Guangxi Zhu, Jinwen Tian, Xiang Zhang, and Fuyuan Peng. "Image segmentation using support vector machine." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.655253.

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Tang, Hong, Tao Fang, and Peng-Fei Shi. "Image feature ratio model: similarity measures with both semantic and visual features in interactive image retrieval." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.652287.

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Cao, Hanqiang, Hua Xiang, Fang Wei, and Xutao Li. "An image adaptive blind watermarking algorithm based on HVS." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.652246.

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Ding, Jianli, Yuanxiang Li, and Lingling Wang. "A color image segmentation algorithm based on multiresolution and fuzzy similarity." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.652252.

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Chen, Tao, Xian Yuwen, Mei Jangyong, and Yi Su. "Structure change detection of images based on biological vision principle." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.652278.

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Guilbert, Eric, Yubin Yang, and Hui Lin. "Cloud tracking in satellite images using a snake model." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.652284.

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Chen, Shao-hui, Zhi-yuan Zeng, and Cheng Wang. "Decision-level fusion system realization of multisensor images." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.652286.

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Zhang, C., X. B. Shen, and C. Y. Chen. "Boltzmann entropy based star identification algorithm for star tracker." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.652309.

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Reports on the topic "Image analysis techniques"

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Contescu, Cristian I., and Timothy D. Burchell. Characterization of Porosity Development in Oxidized Graphite using Automated Image Analysis Techniques. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/970899.

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Keyvan, Shahla. Diagnostics and Control of Natural Gas-Fired furnaces via Flame Image Analysis using Machine Vision & Artificial Intelligence Techniques. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/862201.

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Jackson, Bernard V., Andrew Buffington, and P. P. Hick. Development of Data Analysis Techniques to Provide Photometric Images for a Heliospheric Imager. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada519141.

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Xu, Bohou, Xingxing Wu, Zhong-Ping Jiang, and Daniel W. Repperger. Theoretical Analysis of Image Processing Using Parameter-Tuning Stochastic Resonance Technique. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada472486.

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Searles, K., J. McCarthy, and M. Kumosa. An Image Analysis Technique for Evaluating Internal Damage in Graphite/Polyimide Fabric Composites. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada329913.

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Matthews, W., and W. J. Davis. A practical image analysis technique for estimating the weight of abraded mineral fractions used in U-Pb dating. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1999. http://dx.doi.org/10.4095/210357.

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Rahman, Shahedur, Rodrigo Salgado, Monica Prezzi, and Peter J. Becker. Improvement of Stiffness and Strength of Backfill Soils Through Optimization of Compaction Procedures and Specifications. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317134.

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Vibration compaction is the most effective way of compacting coarse-grained materials. The effects of vibration frequency and amplitude on the compaction density of different backfill materials commonly used by INDOT (No. 4 natural sand, No. 24 stone sand, and No. 5, No. 8, No. 43 aggregates) were studied in this research. The test materials were characterized based on the particle sizes and morphology parameters using digital image analysis technique. Small-scale laboratory compaction tests were carried out with variable frequency and amplitude of vibrations using vibratory hammer and vibrato

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