ordered set of boundary points represents the contour of a given shape and is important for curvature-based shape descriptors. Categories and Subject Descriptors I.4.6 [Image Processing and Computer Vision]: Segmentation ¡V Edge and feature detection‚ Pixel classification General Terms Algorithms. Keywords Image Processing; Contour Tracing; Shape Boundary Extraction. 1. INTRODUCTION Contour tracing is an important process in boundary-based shape matching. All shapes are represented by a pattern
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International Journal of Latest Trends in Computing (E-ISSN: 2045-5364) Volume 2‚ Issue 1‚ March 2011 108 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
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Trans. Commun.‚ vol. 46‚ pp. 91–103‚ Jan. 1998. ‚ “Blind multiuser detection: A subspace approach‚” IEEE Trans. [18] Inform. Theory‚ vol. 44‚ pp. 677–691‚ Mar. 1998. ‚ “Robust multiuser detection in non-Gaussian channels‚” IEEE [19] Trans. Signal Processing‚ vol. 47‚ pp. 289–305‚ Feb. 1999. [20] W. Xiao and M. L. Honig‚ “Convergence analysis of adaptive full-rank and multi-stage reduced-rank interference suppression‚” in Proc. 2000 Conf. Information Sciences and Systems‚ Princeton‚ NJ‚ Mar. 2000. [21]
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Processing lines of food industry (PL) – exam questions 1. Foods division according theirs durability 2. Main reasons of food losses and food destruction 3. Ways of food durability prolongation 4. Basic terms of PL 5. Balance sheet of PL (technology process) – mass‚ energy‚ information 6. Criteria of PL subdivision 7. Types of reserves in PL 8. PL design principles and steps (user‚ designer‚ manufacturer) 9. Water activity; goals of food industry 10. Ways of PL energy consumption reduction
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Leader) Dipesh Kumar Surjit Pandey Project Guide Mr. Amit Kumar Kar Project Co-ordinator Mr. Rajeev Ranjan Kumar Tripathi Mr. Shailesh Patel Abstract The field of Image Processing refers to processing digital images by means of digital computer. One of the main application areas in Digital Image Processing methods is to improve the pictorial information for human interpretation. Most of the digital images contain noise. This can be removed by many enhancement techniques. Filtering is
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Information Processing Theory Angelica Soto 5/16/2010 AED/202 Professor Debra Elliott The information processing theory gives us a glance or an idea of the way people learn. It looks at the ways our mind processes any incoming information‚ and how it is processed and moved first into working memory and then into long-term memory. This theory also describes the way each of these component parts and the system linking them improves with time. Strong inclusion of the information processing theory
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etc. • Processing takes place in stages: – Enhancement‚ segmentation‚ image analysis and matching (pattern recognition). E.G.M. Petrakis Machine Vision (Introduction) 3 Illumination Image Acquisition Machine Vision System Scene 2D Digital Image Image Description Feedback The goal of a machine vision system is to compute a meaningful description of the scene (e.g.‚ object) Machine Vision Stages Image Acquisition (by cameras‚ scanners etc) Image Processing Image Enhancement
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effective method to enable comparison and analysis of such data. The aim of image fusion‚ apart from reducing the amount of data‚ is to create new images that are more suitable for the purposes of human/machine perception‚ and for further image-processing tasks such as segmentation‚ object detection or target recognition in applications such as remote sensing and medical imaging. For example‚ visible-band and infrared images may be fused to aid pilots landing aircraft in poor visibility. Multi-sensor
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ABSTRACT: Image Processing is processing of the image so as to reveal the inner details of the image for further investigation. With the advent of digital computers‚ Digital Image Processing has started revolutionizing the world with its diverse applications. The field of Image Processing continues‚ as it has since the early 1970’s‚ on a path of dynamic growth in terms of popular and scientific interest and number of commercial applications. Considering the advances in the last 30 years resulting
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an important middle management activity in any business process. Transaction processing is often the core of most major activities in organizations and the systems that collect this data often support other systems that might be decision support‚ management information or executive information. Transaction processing is supported by programs that are called transaction processing systems. 1 . Transaction Processing System is an organized collection of people‚ procedures‚ databases‚ hardware
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