lectures1-2.pdf - Introduction Areas of DIP Digital Image Processing Lectures 1 2 M.R Azimi Professor Department of Electrical and Computer Engineering

lectures1-2.pdf - Introduction Areas of DIP Digital Image...

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Introduction Areas of DIP Digital Image Processing Lectures 1 & 2 M.R. Azimi, Professor Department of Electrical and Computer Engineering Colorado State University Spring 2017 M.R. Azimi Digital Image Processing
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Introduction Areas of DIP Introduction to DIP The primary interest in transmitting and handling images in digital forms goes back to 1920’s. However, due to lack of adequate computer systems and vast storage requirements the interest in this area was not fully explored until mid 1960’s after the successful Apollo mission and other space programs. The serious work in the area of digital image processing (DIP) began at JPL when the need for processing lunar images was felt after the Apollo mission. DIP, originally established to analyze and improve lunar images is rapidly growing into a wealth of new applications, due to the enormous progress made in both algorithm development and computer engineering. At present, there is no technical area that is not affected one way or another by DIP. The most important fields of growth appear to emerge in the areas of medical image processing (e.g. surgical simulators and tele-surgery), data communication and compression (e.g., 3D TV, mobile devices), remote sensing (e.g., meteorological, environmental and military), computer vision (e.g., robotics, autonomous systems and UAVs), etc. M.R. Azimi Digital Image Processing
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Introduction Areas of DIP Currently the emphasis is being shifted towards real-time intelligent DIP systems. For the years ahead, trends in computer engineering, especially in parallel/pipeline processing technologies, coupled with new emerging applications indicate no limitation for the horizon of the DIP area. Applications: 1 Medical: Automatic detection/classification of tumors in medical images (e.g., X-ray, MRI, CT-scan, and ultrasound), chromosome identification, etc. 2 Computer Vision: Identification of parts in assembly lines, robotics, tele-operation, autonomous systems, etc. 3 Remote Sensing: Meteorology and climatology, tracking of earth resources, geographical mapping; prediction of agricultural crops, urban growth and weather, flood, fire control, etc. 4 Radar and Sonar: Detection and recognition of various targets, aircraft or missile guidance or maneuvering, etc. 5 Image Transmission: 3DTV and mobile systems, teleconferencing, communications over computer networks, sensor networks, space and satellite, etc. 6 Office Automation: Document (text and image) storage, retrieval and reproduction. 7 Identification Systems: Facial, Iris, finger-print-based ID systems, airport security systems, etc.
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