By Sudipta Roy, Nidul Sinha, Asoke Kr. Sen (auth.), Dhinaharan Nagamalai, Eric Renault, Murugan Dhanuskodi (eds.)
This publication constitutes the refereed lawsuits of the 1st foreign convention on electronic picture Processing and trend attractiveness, DPPR 2011, held in Tirunelveli, India, in September 2011. The forty eight revised complete papers have been rigorously reviewed and chosen from approximately four hundred submissions. The convention introduced jointly major researchers, engineers and scientists within the area of electronic photograph Processing and trend attractiveness. The papers conceal all theoretical and functional points of the sector and current new advances and present examine leads to tracks, specifically: electronic picture processing and trend popularity, and machine technology, engineering and data technology.
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Extra info for Advances in Digital Image Processing and Information Technology: First International Conference on Digital Image Processing and Pattern Recognition, DPPR 2011, Tirunelveli, Tamil Nadu, India, September 23-25, 2011. Proceedings
Lakshmi Sirisha 2, K. Sri Rama Krishna 3, and M. R. R. R. R. com Abstract. This research intends to develop the speed violated vehicle detection system using image processing technique. Overall works are the software development of a system that requires a video scene, which consists of the following components: moving vehicle, starting reference point and ending reference point. A dedicated digital signal processing chip is used to exploit computationally inexpensive image-processing techniques over the video sequence captured from the fixed position video camera for estimating the speed of the moving vehicles The moving vehicles are detected by analyzing the binary image sequences that are constructed from the captured frames by employing the interface difference or the background subtraction Algorithm.
Automatic feature identification from orbital imagery would be of wide use in planetary science. For geo scientific applications, automatic shapebased feature detection offers a fast and non-subjective means of identifying geological structures within data. Most previously published examples of circular feature detection for geo scientific applications aimed to identify impact craters from optical or topographic data. Various techniques used include the texture analysis, template matching, and machine learning.
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Advances in Digital Image Processing and Information Technology: First International Conference on Digital Image Processing and Pattern Recognition, DPPR 2011, Tirunelveli, Tamil Nadu, India, September 23-25, 2011. Proceedings by Sudipta Roy, Nidul Sinha, Asoke Kr. Sen (auth.), Dhinaharan Nagamalai, Eric Renault, Murugan Dhanuskodi (eds.)
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