A Paper presentation on REAL TIME IMAGE PROCESSING APPLIED TO TRAFFIC – QUEUE DETECTION ALGORITHM [pic] ABSTRACTh This paper primarily aims at the new technique of video image processing used to solve problems associated with the real-time road traffic control systems. There is a growing demand for road traffic data of all kinds. Increasing congestion problems and problems associated with existing detectors spawned an interest in such new
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Analysis and Comparison of Texture Features for Content Based Image Retrieval S.Selvarajah 1 and S.R. Kodituwakku 2 1 Department of Physical Science‚ Vavuniya Campus of the University of Jaffna‚ Vavuniya‚ Sri Lanka 2 Department of Statistics & Computer Science‚ University of Peradeniya‚ Sri Lanka. {shakeelas@mail.vau.jfn.ac.lk‚ salukak@pdn.ac.lk} Abstract: Texture is one of the important features used in CBIR systems. The methods of characterizing texture fall into two major categories: Statistical
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Image registration methods: a survey Barbara Zitová‚ ‚ Jan Flusser Department of Image Processing‚ Institute of Information Theory and Automation‚ Academy of Sciences of the Czech Republic Pod vodárenskou věžı́ 4‚ 182 08 Prague 8‚ Czech Republic http://dx.doi.org/10.1016/S0262-8856(03)00137-9‚ How to Cite or Link Using DOI Abstract This paper aims to present a review of recent as well as classic image registration methods. Image registration is the process of overlaying images (two or
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Based Image Retrieval By Rami Al-Tayeche (237262) & Ahmed Khalil (296918) Supervisor: Professor Aysegul Cuhadar A report submitted in partial fulfillment of the requirements of 94.498 Engineering Project Department of Systems and Computer Engineering Faculty of Engineering Carleton University April 4‚ 2003 Abstract The purpose of this report is to describe our research and solution to the problem of designing a Content Based Image Retrieval‚ CBIR system. It outlines the
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OMR TECHNOLOGY Er. Ramesh Neupane Central Department of Computer Science and Information Technology Institute of Science and Technology Tribhuvan University March 13‚ 2011 Abstract Short for optical mark recognition‚ the technology of electronically extracting intended data from marked fields‚ such as checkboxes and fill-infields‚ on printed forms. OMR technology scans a printed form and reads predefined positions and records where marks are made on the form. This technology is
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Weber’s Law and Weberized TV Restoration Jianhong Shen School of Mathematics University of Minnesota Minneapolis‚ MN 55455‚ USA Abstract Most conventional image processors consider little the influence of human vision psychology. Weber’s Law in psychology and psychophysics claims that human’s perception and response to the intensity fluctuation of visual signals are weighted by the background stimulus ‚ instead of being plainly uniform. This paper attempts to integrate this well known perceptual
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Computer Engineering Mekelweg 4‚ 2628 CD Delft The Netherlands http://ce.et.tudelft.nl/ 2010 MSc THESIS Optimization of Texture Feature Extraction Algorithm Tuan Anh Pham Abstract Texture‚ the pattern of information or arrangement of the structure found in an image‚ is an important feature of many image types. In a general sense‚ texture refers to surface characteristics and appearance of an object given by the size‚ shape‚ density‚ arrangement‚ proportion of its elementary parts. Due to
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CONTENT BASED IMAGE RETRIEVAL USING COLOUR AND TEXTURE FEATURE EXTRACTION Abstract We propose a content-based image retrieval method based on an efficient combination of multiresolution color and texture features. As its color features‚ color auto correlograms of the hue and saturation component images in HSV color space are used. As its texture features‚ BDIP and BVLC moments of the value component image are adopted. The color and texture features are extracted in multiresolution
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else‚ one thing is forcertain -* Seam Carving was indeed a revolu-tionary approach in the field of Content-AwareImage Resizing.References[1]Histograms of oriented gradients for humandetection - Dalal‚ N.‚ and Triggs‚ B. 2005[2]Synergism in low-level vision -
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REAL TIME IMAGE PROCESSING APPLIED TO TRAFFIC-QUEUE DETECTION ALGORITHM V.Pranavi*1‚vasapranavi@gmail.com G.Kavya*2‚g.kavya21@gmail.com Mathuri Venkata Subba Rao Engineering College‚ Nadergul‚ Hyderabad-5000097 ABSTRACT: This paper primarily aims at the new technique of image processing used to solve problems associated with the real-time road traffic control systems. There is a growing demand for road traffic data of all kinds increasing congestion problems and problems associated with
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