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Secure Electronic Voting System Based on Image Steganography INDEX 1. Abstract ……………………………………………………... 2 2. Introduction ……………………………………………………

Education Medical image analysis

1. Medical Image AnalysisHossam Mahmoud Moftah and Aboul Ella Hassanien Cairo University, Dept. of Information Technology, Faculty of Computers and information Scientific…

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SMARANIKA SAHU 1ST SEM M.TECH(ETC) KRUPAJAL ENGINEERING COLLGE,BBSR,ORISSA,INDIA 1 Image mining is an extension of data mining to image domain. Image mining deals with the…

Technology Shape matching and object recognition using shape context belongie pami02

1.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,VOL. 24, NO. 24, APRIL 2002 509Shape Matching and Object Recognition Using Shape Contexts Serge Belongie,…

Technology digital watermarking

1. ByD.Bharath Kumar Reddy (08T81A0410) 2. WHAT IS DIGITAL WATER MARKING?WHY IS IT?WHY TO USE IT?PROPERTIESCLASSIFICATIONSGENERAL WATERMARKING SYSTEMDIGITAL…

Technology Digital Watermarking

1. By Ch.Vinay kumar (10U31A0413) 2. WHAT IS DIGITAL WATER MARKING? WHY IS IT? WHY TO USE IT? PROPERTIES CLASSIFICATIONS GENERAL WATERMARKING SYSTEM DIGITAL…

Documents A Spatially Adaptive Statistical Method for the Binarization of Historical Manuscripts and Degraded....

Pattern Recognition 44 (2011) 2184–2196 Contents lists available at ScienceDirect Pattern Recognition journal homepage: www.elsevier.com/locate/pr A spatially adaptive…

Science Image segmentation

1. Image Segmentation (deformable segmentation) Xianghua Xie Computer Science Department, Swansea University, UK http://csvision.swan.ac.uk 2. n  high level understanding…

Technology Neutrosophic sets and fuzzy c means clustering for improving ct liver image segmentation

1. NEUTROSOPHIC SETS AND FUZZY C- MEANS CLUSTERING FOR IMPROVING CT LIVER IMAGE SEGMENTATION By Ahmed Metwalli Anter, PHD Student IBICA2014 23-25/6/2014 – Ostrava Czech…

Technology Fcv rep zhu

1. Visual Representation Song-Chun ZhuThe Frontiers of Vision Workshop, August 20-23, 2011 2. Marr’s observation: studying vision at 3 levels Visual Implementation…