Real Time Edge Detection Using Sundance Video And Image Processing System
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Real-Time Edge Detection Using Sundance Video and Image Processing System
Edge detection from images is one of the most important concerns in digital image and video processing. With development in technology, edge detection has been greatly benefited and new avenues for research opened up, one such field being the real time video and image processing whose applications have allowed other digital image and video processing. It consists of the implementation of various image processing algorithms like edge detection using sobel, prewitt, canny and laplacian etc. A different technique is reported to increase the performance of the edge detection. The algorithmic computations in real-time may have high level of time based complexity and hence the use of Sundance Module Video and Image processing system for the implementation of such algorithms is proposed here. In this module is based on the Sundance module SMT339 processor is a dedicated high speed image processing module for use in a wide range of image analysis systems. This processor is combination of the DSP and FPGA processor. The image processing engine is based upon the „Texas Instruments‟ TMS320DM642 Video Digital Signal Processor. And A powerful Vitrex-4 FPGA (XC4VFX60-10) is used onboard as the FPGA processing unit for image data. It is observed that techniques which follow the stage process of detection of noise and filtering of noisy pixels achieve better performance than others. In this thesis such schemes of sobel, prewitt, canny and laplacian detector are proposed.
Autonomous Systems: Developments and Trends
The Workshops on Autonomous Systems emanated from a gathering with the doctoral students of just three chairs at Fernuniversität in Hagen, which we organise twice per year for a number of years now. Their purpose is to discuss on-going research and to create a community spirit. Furthermore, they serve as a means of structuring the students' research processes. The workshop has grown and matured in several respects. The doctoral students presenting their work do not come from a single university anymore, but from three. Besides them and their supervisors, also other scientists became interested in the event and contribute to its programme. Following the model of Advanced Study Institutes, they are available on the premises for relaxed, informal discussions outside the formal sessions. Finally, with the co-sponsorship of Gesellschaft für Informatik, the German Computer Society, and this surprisingly comprehensive volume of contributions published by Springer-Verlag the workshop turned into a visible scientific event.
Leak Detection: Technology and Implementation: 2nd edition
Ageing infrastructure and declining water resources are major concerns with a growing global population. Controlling water loss has therefore become a priority for water utilities around the world. In order to improve their efficiencies, water utilities need to apply good practice in leak detection. To deal with losses in an effective manner, particularly from networks in water-scarce areas, water utility managers are increasingly turning to technology to reduce costs, increase efficiency and improve reliability. Companies that continuously invest in technology and innovation should see a positive return on investment in terms of improving daily operations and collection and analysis of network data for decision making and forward planning. Methodologies for achieving the best results to reduce water losses are continuously evolving. Water utilities and equipment manufacturers are increasingly working together to stretch the boundaries of current knowledge. This is leading to some innovative technologies and new product development to complement current methodologies. This book reflects the situation at the time of publication. This 2nd edition of the book updates practices and technologies that have been introduced or further developed in recent years in leakage detection outlining recent advancements in technology used, such as satellite aided methods in leak location, pipeline inspection with thermal diagnostics, inspection of pipelines by air using infra-red or thermal imaging cameras, Drones for leak detection activities and even sniffing dogs . In addition, it is enriched with new case studies which provide useful examples of practical applications of several leak detection practices and technologies.