Dissertations / Theses on the topic 'Aeromagnetic data image processing'
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Magaia, Luis. "Processing Techniques of Aeromagnetic Data. Case Studies from the Precambrian of Mozambique." Thesis, Uppsala universitet, Geofysik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-183714.
Full textChintala, Venkatram Reddy. "Digital image data representation." Ohio : Ohio University, 1986. http://www.ohiolink.edu/etd/view.cgi?ohiou1183128563.
Full textBarker, Kelly. "Improved application of remote referencing data in aeromagnetic processing : insights and applications from global geomagnetic modelling." Thesis, University of Liverpool, 2016. http://livrepository.liverpool.ac.uk/3002173/.
Full textDahlberg, Tobias. "Distributed Storage and Processing of Image Data." Thesis, Linköpings universitet, Databas och informationsteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-85109.
Full textJULARDZIJA, MIRHET. "Processing RAW image data in mobile units." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-27724.
Full textGrosse, Neil G. "Image processing of Red Sea geophysical data." Thesis, University of Newcastle Upon Tyne, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308392.
Full textParker, Greg. "Robust processing of diffusion weighted image data." Thesis, Cardiff University, 2014. http://orca.cf.ac.uk/61622/.
Full textBenjamin, Jim Isaac. "Quadtree algorithms for image processing /." Online version of thesis, 1991. http://hdl.handle.net/1850/11078.
Full textBhatt, Mittal Gopalbhai. "Detecting glaucoma in biomedical data using image processing /." Link to online version, 2005. https://ritdml.rit.edu/dspace/handle/1850/939.
Full textTurkmen, Muserref. "Digital Image Processing Of Remotely Sensed Oceanographic Data." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609948/index.pdf.
Full textmote sensing data. A very typical and important problem being interpretation of satellite images. A very efficient approach to remote sensing is employing discrim¬
inant functions to distinguish different landscape classes from satellite images. Various methods on this direction are already studied. However, the efficiency of the studied methods are still not very high. In this thesis, we will improve efficiency of remote sensing algorithms. Besides we will investigate improving boundary detection methods on satellite images.
Tsanakas, Panagiotis D. "Algorithms and data structures for hierarchical image processing." Ohio : Ohio University, 1985. http://www.ohiolink.edu/etd/view.cgi?ohiou1184075678.
Full textKhanna, Rajiv. "Image data compression using multiple bases representation." Thesis, This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-12302008-063722/.
Full textDickinson, Keith William. "Traffic data capture and analysis using video image processing." Thesis, University of Sheffield, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306374.
Full textKidane, Dawit K. "Rule-based land cover classification model : expert system integration of image and non-image spatial data." Thesis, Stellenbosch : Stellenbosch University, 2005. http://hdl.handle.net/10019.1/50445.
Full textENGLISH ABSTRACT: Remote sensing and image processing tools provide speedy and up-to-date information on land resources. Although remote sensing is the most effective means of land cover and land use mapping, it is not without limitations. The accuracy of image analysis depends on a number of factors, of which the image classifier used is probably the most significant. It is noted that there is no perfect classifier, but some robust classifiers achieve higher accuracy results than others. For certain land cover/uses, discrimination based only on spectral properties is extremely difficult and often produces poor results. The use of ancillary data can improve the classification process. Some classifiers incorporate ancillary data before or after the classification process, which limits the full utilization of the information contained in the ancillary data. Expert classification, on the other hand, makes better use of ancillary data by incorporating data directly into the classification process. In this study an expert classification model was developed based on spatial operations designed to identify a specific land cover/use, by integrating both spectral and available ancillary data. Ancillary data were derived either from the spectral channels or from other spatial data sources such as DEM (Digital Elevation Model) and topographical maps. The model was developed in ERDAS Imagine image-processing software, using the expert engineer as a final integrator of the different constituent spatial operations. An attempt was made to identify the Level I land cover classes in the South African National Land Cover classification scheme hierarchy. Rules were determined on the basis of expert knowledge or statistical calculations of mean and variance on training samples. Although rules could be determined by using statistical applications, such as the classification analysis regression tree (CART), the absence of adequate and accurate training data for all land cover classes and the fact that all land cover classes do not require the same predictor variables makes this option less desirable. The result of the accuracy assessment showed that the overall classification accuracy was 84.3% and kappa statistics 0.829. Although this level of accuracy might be suitable for most applications, the model is flexible enough to be improved further.
AFRIKAANSE OPSOMMING: Afstandswaameming-en beeldverwerkingstegnieke kan akkurate informasie oorbodemhulpbronne weergee. Alhoewel afstandswaameming die mees effektiewe manier van grondbedekking en grondgebruikkartering is, is dit nie sonder beperkinge nie. Die akkuraatheid van beeldverwerking is afhanklik van verskeie faktore, waarvan die beeld klassifiseerder wat gebruik word, waarskynlik die belangrikste faktor is. Dit is welbekend dat daar geen perfekte klassifiseerder is nie, alhoewel sekere kragtige klassifiseerders hoër akkuraatheid as ander behaal. Vir sekere grondbedekking en -gebruike is uitkenning gebaseer op spektrale eienskappe uiters moeilik en dikwels word swak resultate behaal. Die gebruik van aanvullende data, kan die klassifikasieproses verbeter. Sommige klassifiseerders inkorporeer aanvullende data voor of na die klassifikasieproses, wat die volle aanwending van die informasie in die aanvullende data beperk. Deskundige klassifikasie, aan die ander kant, maak beter gebruik van aanvullende data deurdat dit data direk in die klassifikasieproses inkorporeer. Tydens hierdie studie is 'n deskundige klassifikasiemodel ontwikkel gebaseer op ruimtelike verwerkings, wat ontwerp is om spesifieke grondbedekking en -gebruike te identifiseer. Laasgenoemde is behaal deur beide spektrale en beskikbare aanvullende data te integreer. Aanvullende data is afgelei van, óf spektrale eienskappe, óf ander ruimtelike bronne soos 'n DEM (Digitale Elevasie Model) en topografiese kaarte. Die model is ontwikkel in ERDAS Imagine beeldverwerking sagteware, waar die 'expert engineer' as finale integreerder van die verskillende samestellende ruimtelike verwerkings gebruik is. 'n Poging is aangewend om die Klas I grondbedekkingklasse, in die Suid-Afrikaanse Nasionale Grondbedekking klassifikasiesisteem te identifiseer. Reëls is vasgestel aan die hand van deskundige begrippe of eenvoudige statistiese berekeninge van die gemiddelde en variansie van opleidingsdata. Alhoewel reëls met behulp van statistiese toepassings, soos die 'classification analysis regression tree (CART)' vasgestel kon word, maak die afwesigheid van genoegsame en akkurate opleidingsdata vir al die grondbedekkingsklasse hierdie opsie minder aantreklik. Bykomend tot laasgenoemde, vereis alle grondbedekkingsklasse nie dieselfde voorspellingsveranderlikes nie. Die resultaat van hierdie akkuraatheidsskatting toon dat die algehele klassifikasie-akkuraatheid 84.3% was en die kappa statistieke 0.829. Alhoewel hierdie vlak van akkuraatheid vir die meeste toepassings geskik is, is die model aanpasbaar genoeg om verder te verbeter.
Bao, Shunxing. "Algorithmic Enhancements to Data Colocation Grid Frameworks for Big Data Medical Image Processing." Thesis, Vanderbilt University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13877282.
Full textLarge-scale medical imaging studies to date have predominantly leveraged in-house, laboratory-based or traditional grid computing resources for their computing needs, where the applications often use hierarchical data structures (e.g., Network file system file stores) or databases (e.g., COINS, XNAT) for storage and retrieval. The resulting performance for laboratory-based approaches reveal that performance is impeded by standard network switches since typical processing can saturate network bandwidth during transfer from storage to processing nodes for even moderate-sized studies. On the other hand, the grid may be costly to use due to the dedicated resources used to execute the tasks and lack of elasticity. With increasing availability of cloud-based big data frameworks, such as Apache Hadoop, cloud-based services for executing medical imaging studies have shown promise.
Despite this promise, our studies have revealed that existing big data frameworks illustrate different performance limitations for medical imaging applications, which calls for new algorithms that optimize their performance and suitability for medical imaging. For instance, Apache HBases data distribution strategy of region split and merge is detrimental to the hierarchical organization of imaging data (e.g., project, subject, session, scan, slice). Big data medical image processing applications involving multi-stage analysis often exhibit significant variability in processing times ranging from a few seconds to several days. Due to the sequential nature of executing the analysis stages by traditional software technologies and platforms, any errors in the pipeline are only detected at the later stages despite the sources of errors predominantly being the highly compute-intensive first stage. This wastes precious computing resources and incurs prohibitively higher costs for re-executing the application. To address these challenges, this research propose a framework - Hadoop & HBase for Medical Image Processing (HadoopBase-MIP) - which develops a range of performance optimization algorithms and employs a number of system behaviors modeling for data storage, data access and data processing. We also introduce how to build up prototypes to help empirical system behaviors verification. Furthermore, we introduce a discovery with the development of HadoopBase-MIP about a new type of contrast for medical imaging deep brain structure enhancement. And finally we show how to move forward the Hadoop based framework design into a commercialized big data / High performance computing cluster with cheap, scalable and geographically distributed file system.
Collaer, Marcia Lee. "IMAGE DATA COMPRESSION: DIFFERENTIAL PULSE CODE MODULATION OF TOMOGRAPHIC PROJECTIONS." Thesis, The University of Arizona, 1985. http://hdl.handle.net/10150/291412.
Full textConnolly, Christine. "Image segmentation from colour data for industrial applications." Thesis, University of Huddersfield, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304640.
Full textHague, Darren S. "Neural networks for image data compression : improving image quality for auto-associative feed-forward image compression networks." Thesis, Brunel University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262478.
Full textShen, Shan. "MRI brain tumour classification using image processing and data mining." Thesis, University of Strathclyde, 2004. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21543.
Full textGreenaway, Richard Scott. "Image processing and data analysis algorithm for application in haemocytometry." Thesis, University of Hertfordshire, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263063.
Full textShih, Daphne Yong-Hsu. "A data path for a pixel-parallel image processing system." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/40570.
Full textIncludes bibliographical references (p. 65).
by Daphne Yong-Hsu Shih.
M.Eng.
Koutsogiannis, Vassilis. "A study of color image data compression /." Online version of thesis, 1992. http://hdl.handle.net/1850/11060.
Full textMarshall, Dana T. "The exploitation of image construction data and temporal/image coherence in ray traced animation /." Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3008386.
Full text遲秉壯 and Ping-chong Chee. "Hand-printed Chinese character recognition and image preprocessing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31213972.
Full textChee, Ping-chong. "Hand-printed Chinese character recognition and image preprocessing /." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B18597579.
Full textChung, Vera Yuk Ying. "Real-time image processing techniques using custom computing." Thesis, Queensland University of Technology, 2000.
Find full textAlevärn, Marcus. "Server-side image processing in native code compared to client- side image processing in WebAssembly." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300138.
Full textIdag utvecklar företag processorkrävande applikationer på webben, till exempel 3D-visualiseringsprogramvara och video- och ljudprogramvara. Några av dessa företag har även skrivbordsprogram skrivna i exempelvis C++. Dessa C++ kodbaser kan bestå av flera hundra tusen rader kod, och företag vill därför återanvända sin kodbas i webbversionen. Detta projektarbete gör en jämförelse mellan två olika tillvägagångssätt för att återanvända C++ kodbasen. Det första tillvägagångssättet är att kompilera C++ kodbasen till WebAssembly och köra koden på klientsidan. Det andra tillvägagångssättet är att kompilera C++ kodbasen till maskinkod och köra koden på serversidan. Det är inte klart vilken metod man ska ta om målet är att uppnå optimal prestanda. Detta projektarbete kommer därför att besvara frågan om en klientsidslösning i WebAssembly är snabbare än en serversidslösning i maskinkod. För att svara på den här frågan tittade projektarbetet på ett användningsfall, nämligen bildbehandling. Två olika webbapplikationer utvecklades, en som gjorde bildbehandling på serversidan i maskinkod och en annan som gjorde bildbehandling på klientsidan i WebAssembly. Körtidsmätningar samlades in från båda webbapplikationerna. Resultaten visade att för de flesta algoritmer var WebAssembly en faktor 1,5 långsammare än maskin kod, utan att ta hänsyn till den extra fördröjningen från internet som kommer att påverka webbapplikationen som utför bildbehandling på serversidan. Om denna fördröjning tas med i beräkningen kommer webbapplikationen som utför bildbehandling på klientsidan i WebAssembly att vara snabbare än serversidslösningen i maskinkod för de flesta användare i världen. Om tur och retur tiden (RTT) är 1 ms är den genomsnittliga genomströmning som krävs för att göra de två webbapplikationerna lika snabba 249 Mbps (Google Chrome) eller 226 Mbps (Firefox). De flesta användare i världen har inte så hög genomsnittlig genomströmning.
Yan, Hui. "Data analytics and crawl from hidden web databases." Thesis, University of Macau, 2015. http://umaclib3.umac.mo/record=b3335862.
Full textCarter, Leigh. "Image data compression by division of subpictures into classes." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303089.
Full textSander, Samuel Thomas. "Retargetable compilation for variable-grain data-parallel execution in image processing." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/13850.
Full textWear, Steven M. "Shift-invariant image reconstruction of speckle-degraded images using bispectrum estimation /." Online version of thesis, 1990. http://hdl.handle.net/1850/11219.
Full textArdila, Bernal Pablo Andres. "Augmented Reality Stationary Platform Controlled by Image Processing Interface." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254878.
Full textUtvecklingen av dynamiska och användarvänliga plattformar för fysiska spelrum kräver programvara som ger en stabil och bra upplevelse. Noran AB vill erbjuda handikappanpassade funktioner med hjälp av integrerad bildigenkänning som drivs av OpenCV. Systemet visar en virtuell robot kan styras genom huvudrörelser. En funktionell prototyp utvecklas och experiment med användare genomförs och dokumenteras. Inriktningen för detta arbete är att identifiera och utvärdera kriterier för att manipulera bildhanteringsalgoritmens prestanda för funktionsdetektering. Det har fastställts att en enskild digital bild vanligtvis skannas av ett relativt litet filter. Att minska bildstorleken skulle därför också minska området att skanna. Den tid som algoritmen skulle ta för att gå igenom hela matrixen av pixlar skulle minskas direkt. Från användarinmatning har sekvensen av bilder krympt från 307 200 ner till 117 pixlar genom 10 mellansteg, den genomsnittliga tiden för att upptäcka ett ansikte för en viss bildstorlek registreras. En korrelation mellan storlek och tid för att upptäcka ansiktet bör hittas. Detta jämförs med detekteringsgraden för varje ramstorlek, vilket bekräftar om i detta fall exekveringen av algoritmen utfördes med avseende på originalupplösning. Detekteringsprestanda kan därför förbättras genom att uppnå en högre detekteringshastighet utan några hårdvaruförbättringar. Erfarenheten analyseras också genom användarens feedback och beteende, båda samlade eller observerade under experimenten. Resultat leder till att hitta en lägre bildstorlek som fortfarande uppfyller samma detekteringsnivå som den ursprungliga upplösningen och för att se hur gränssnittet kan förbättras ytterligare.
Kumar, Mrityunjay. "Model based image fusion." Diss., Connect to online resource - MSU authorized users, 2008.
Find full textPan, Jian Jia. "EMD/BEMD improvements and their applications in texture and signal analysis." HKBU Institutional Repository, 2013. https://repository.hkbu.edu.hk/etd_oa/75.
Full textvan, der Gracht Joseph. "Partially coherent image enhancement by source modification." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/13379.
Full textLee, Jae-Min. "Characterization of spatial and temporal brain activation patterns in functional magnetic resonance imaging data." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0013024.
Full textMainguy, Yves. "A robust variable order facet model for image data." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-10222009-124949/.
Full textZhu, Hui, and 朱暉. "Deformable models and their applications in medical image processing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31238075.
Full textPivovarník, Marek. "New Approaches in Airborne Thermal Image Processing for Landscape Assessment." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-263356.
Full textGoldschneider, Jill R. "Lossy compression of scientific data via wavelets and vector quantization /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/5881.
Full textMartin, Ian John. "Multi-spectral image segmentation and compression." Thesis, University of Warwick, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343123.
Full textLindstrom, Peter. "Model simplification using image and geometry-based metrics." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/8208.
Full textALMEIDA, Marcos Antonio Martins de. "Statistical analysis applied to data classification and image filtering." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/25506.
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Statistical analysis is a tool of wide applicability in several areas of scientific knowledge. This thesis makes use of statistical analysis in two different applications: data classification and image processing targeted at document image binarization. In the first case, this thesis presents an analysis of several aspects of the consistency of the classification of the senior researchers in computer science of the Brazilian research council, CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico. The second application of statistical analysis developed in this thesis addresses filtering-out the back to front interference which appears whenever a document is written or typed on both sides of translucent paper. In this topic, an assessment of the most important algorithms found in the literature is made, taking into account a large quantity of parameters such as the strength of the back to front interference, the diffusion of the ink in the paper, and the texture and hue of the paper due to aging. A new binarization algorithm is proposed, which is capable of removing the back-to-front noise in a wide range of documents. Additionally, this thesis proposes a new concept of “intelligent” binarization for complex documents, which besides text encompass several graphical elements such as figures, photos, diagrams, etc.
Análise estatística é uma ferramenta de grande aplicabilidade em diversas áreas do conhecimento científico. Esta tese faz uso de análise estatística em duas aplicações distintas: classificação de dados e processamento de imagens de documentos visando a binarização. No primeiro caso, é aqui feita uma análise de diversos aspectos da consistência da classificação de pesquisadores sêniores do CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico, na área de Ciência da Computação. A segunda aplicação de análise estatística aqui desenvolvida trata da filtragem da interferência frente-verso que surge quando um documento é escrito ou impresso em ambos os lados da folha de um papel translúcido. Neste tópico é inicialmente feita uma análise da qualidade dos mais importantes algoritmos de binarização levando em consideração parâmetros tais como a intensidade da interferência frente-verso, a difusão da tinta no papel e a textura e escurecimento do papel pelo envelhecimento. Um novo algoritmo para a binarização eficiente de documentos com interferência frente-verso é aqui apresentado, tendo se mostrado capaz de remover tal ruído em uma grande gama de documentos. Adicionalmente, é aqui proposta a binarização “inteligente” de documentos complexos que envolvem diversos elementos gráficos (figuras, diagramas, etc).
Beaton, Duncan. "Integration of data description and quality information using metadata for spatial data and spatial information systems." Thesis, University of Newcastle Upon Tyne, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321263.
Full textWaite, Martin. "Data structures for the reconstruction of engineering drawings." Thesis, Nottingham Trent University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328794.
Full textHudson, James. "Processing large point cloud data in computer graphics." Connect to this title online, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1054233187.
Full textTitle from first page of PDF file. Document formatted into pages; contains xix, 169 p.; also includes graphics (some col.). Includes bibliographical references (p. 159-169). Available online via OhioLINK's ETD Center
Klintström, Eva. "Image Analysis for Trabecular Bone Properties on Cone-Beam CT Data." Doctoral thesis, Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-142066.
Full textLiao, Haiyong. "Computational methods for bioinformatics and image restoration." HKBU Institutional Repository, 2010. http://repository.hkbu.edu.hk/etd_ra/1103.
Full textBurger, James. "Hyperspectral NIR image analysis : data exploration, correction, and regression /." Umeå : Unit of Biomass Technology and Chemistry, Swedish University of Agricultural Sciences, 2006. http://epsilon.slu.se/200660.pdf.
Full textStrohbeck, Uwe. "A new approach in image data compression by multiple resolution frame-processing." Thesis, Northumbria University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245827.
Full text