PPT-Innovations in borehole image data acquisition and processing

Author : luanne-stotts | Published Date : 2018-11-08

Timo korth Advanced Logic technology sa ASEg 2015 Motivation 100 slim hole ATV OTV tools released to the market every year Several hundred kilometers of image

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Innovations in borehole image data acquisition and processing: Transcript


Timo korth Advanced Logic technology sa ASEg 2015 Motivation 100 slim hole ATV OTV tools released to the market every year Several hundred kilometers of image logs are acquired yearly in the mining industry alone. The Importance of Data Acquisition and Management.. Randall Reed, Ph.D.. , . Director, Center for Sensory Biology . Professor. , Department of Molecular Biology . & . Genetics. , . Neuroscience, . Group Talk . II. ICRAR Con . 4. September 2015. Chen Wu. 1. MWA . d. ata system. MWA data usage. MWA storage . modelling. GLEAM archive. GLEAM VO usage. In-archive processing. Agenda. 2. MWA . Data System. Modeling of . Graph-Structured. Data . … and … . Images. 1. Michael Elad. The Computer Science Department . The Technion . T. he . research leading . to these results . 1. Image. Rich info. from visual data. Examples of images around us. natural photographic images; . . artistic and engineering drawings. scientific images (satellite, medical, etc.). “Motion pictures” => video. The Importance of Data Acquisition and Management.. Randall Reed, Ph.D.. , . Director, Center for Sensory Biology . Professor. , Department of Molecular Biology . & . Genetics. , . Neuroscience, . Madan Musuvathi. . Visiting Professor, UCLA . Principal Researcher, Microsoft Research. Mid-point feedback. Are you learning from the papers we are reading?. Do you find class discussions helpful?. Does preparing for the class presentation help? . Eric Rees, Clemens Kaminski, Miklos Erdelyi, Dan Metcalf, Alex Knight. Laser Analytics Group. , . University of Cambridge . & . Biotechnology Group. , . National Physical Laboratory. Contents. Introduction. Mohammadhossein . Behgam. Agenda. Need for parallelism. Challenges. Image processing algorithms. Data handling & Load Balancing. Communication cost & performance. What is the problem?. Image Processing applications can be very computationally demanding due to:. Divya Spandana . Marneni. Agenda. What is Big Data. Big Data and image processing. Why to analyze big images. Complexity involved in processing. Hadoop Image processing framework. Image Retrieval in big data. Beginner 1 INTRODUCTIONImage processing is the frequently used technique in vast areas like medical image astronomical data analysisand so on The collection of images is increased to petabytes in last few Vol-4 Issue-3 2018IJARIIE-ISSNO-2395-43968487722FEATURE EXTRACTION IN HADOOP IMAGE PROCESSING INTERFACEIshit Vyas1Prof Bhavika Gambhava2and Digvijaysingh Chauhan31M Tech Student Dharmsinh Desai Univer E. nvironment for . R. eal-time . S. treaming, . A. cquisition and . P. rocessing . FBP based, reactive data-stream processing framework. V. Gyurjyan, G. . Heyes. , D. Lawrence, C. Timmer, N. Brey, C. Cuevas, D. Abbott, B. . The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand

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