image processing research paper-31

Topological optimization with the p-Laplacian operator and an application in image processing
A Sy, D Seck ,Boundary Value Problems, 2009 ,
The goal of the topological optimization problem is to find an optimal design with an a priori
poor information on the optimal shape of the structure. The shape optimization problem
consists in minimizing a functional j O J O, uO where the function uO is defined, for 

Validation of CCHE2D Model Using Digital Image Processing Techniques and Satellite Imagery
AKMA Hossain, Y Jia ,Proc., 33rd IAHR Congr.(CD- , 2009 ,
ABSTRACT This research validates the CCHE2D hydrodynamic model flood simulation
results using a series of satellite imagery and several digital image processing techniques.
Previously CCHE2D model simulation results have been validated using measured 

Convergence analysis of finite volume scheme for nonlinear tensor anisotropic diffusion inimage processing
O Drblíková ,SIAM J. Numer. Anal, 2007 ,
Abstract. In this article we design the semi-implicit finite volume scheme for coherence
enhancing diffusion in image processing and prove its convergence to the weak solution of
the problem. The finite volume methods are natural tools for image processing 

Quality control for springs during the production process based on image processingtechnologies
M Rosenberger, M Schellhorn, G Linss ,2010
ABSTRACT The stability of the production process and whose control technologies, is one of
the major topics for the quality of the product. Therefore fast measurement technique plays
an important role. One of the best ways, depending on the application and the required 

Application of digital image processing techniques for asphalt concrete mixture images
H Zelelew, AT Papagiannakis ,The 12th International , 2008 ,
ABSTRACT: This paper presents an automated digital image processing (DIP) algorithm
called Volumetricsbased Global Minima (VGM) thresholding algorithm for processing
asphalt concrete (AC) X-ray computed tomography (CT) images. It utilizes known 

Image processing techniques for lemons and tomatoes classification
  ,Bragantia, 2008 ,SciELO Brasil
ABSTRACT Vegetable quality is frequently referred to size, shape, mass, firmness, color and
bruises from which fruits can be classified and sorted. However, technological by small and
middle producers implementation to assess this quality is unfeasible, due to high costs of 

C Dufour, N Le Roch, M Berthé , Conference on Space , 2010 ,
ChemCam is an active remote sensing instrument to investigate details of the Martian
geochemistry using the Laser Induced Breakdown Spectroscopy (LIBS) technique [1], and
Remote Micro Imaging (RMI), to be flown on the Mars Science Laboratory (MSL) rover 

Cracks inspection and interpolation in digitized artistic picture using image processingapproach
MSV Solanki ,Int. Journal of Recent , 2009
Abstract-With the effective image processing tools, the digital image processing technique
can be applied to the virtual restoration of artistic paintings. For the restoration of artistic
work, digital image processing technique serves many purposes. This paper presents 

A New Approach to Degraded Image Processing Based on Two-Dimensional Parameter-Induced Stochastic Resonance
  Computer Modeling in , 2010 ,
Abstract: A modified two-dimensional parameter-induced stochastic resonance (2D-PSR)
system is proposed. Both theoretical and simulation results indicate that the 2D-PSR system
performs a resonant-like behavior when system parameters are properly adjusted. When 

Adaptive diamond cell finite volume method in image processing
Z Krivá ,Proceedings of ALGORITMY, 2009 ,
Abstract. New adaptive finite volume scheme for image processing applications is
presented. It is based on a combination of primal, dual and diamond cell grids which leads
to an efficient method built for the quadtree structures obtained by a coarsening process. 

Medical image processing in MediGRID
S Kottha, K Peter, T Steinke, J Bart ,German e-science , 2007 ,
Abstract In MediGRID a diverse spectrum of application scenarios from areas of
bioinformatics, medical image processing, numerical simulations and clinical trials will be
integrated into a Grid environment. In this paper we present the MediGRID infrastructure 

Augmenting image processing with social tag mining for landmark recognition
A Mahapatra, X Wan, Y Tian ,Advances in Multimedia , 2011 ,Springer
Social Multimedia computing is a new approach which combines the contextual information
available in the social networks with available multimedia content to achieve greater
accuracy in traditional multimedia problems like face and landmark recognition. Tian et al.[ 

Automated image processing of historical maps
T Shaw ,SPIE (7869), 2011
There are many important questions to be answered based on the cartographic information
hidden in maps from over the past several hundreds of years. For example, historians study
how knowledge of geographic regions varied between nations and over time. However, 

Multi-Directional Tracking of Athletes Using MATLAB Image Processing
M York ,2010 ,
Abstract This document proposes the creation of a MATLAB script to find, track, and analyze
the movement of athletes on their given playing surface with the intent of providing more
precise information to coaches and players. It includes six components:(1) Background 

Robust hand image processing for

Biometric application and classification of individuals using postural parameters
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This Biometrics refers to automatic recognition of individuals based on their physiological and/or behavioral characteristics. The displacement of the centre of pressure (COP) is a measure that has been successfully employed in studies regarding the postural control. So

CBIR on Biometric Application using Hough Transform with DCD, DWT Features and SVM Classification
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Content based image retrieval (CBIR) has been possibly the greatest significant enquiry areas in Modern heuristic techniques for combinatorial problems. Advanced topics in computer science
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Decision Tree and Ensemble Learning Based on Ant Colony Optimization Google Books Result Modern heuristic techniques for combinatorial problems . Faculty library sciences Series: Advanced topics in computer science series; Alternative call (PDF) Modern Heuristic Search Methods

Software Agents Michael R. Genesereth Logic Group Computer Science Department Stanford University
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The software world is one of great richness and diversity. Many thousands of software products are available to users today, providing a wide variety of information and services in a wide variety of domains. While most of these programs provide their users with significant Classical complexity theory analyzes and classifies problems by the amount of a resource, usually time or space, that is required by algorithms solving them. It was a fundamental idea, going back to the work of Hartmanis and Stearns in the early 1960s, to measure the required

The combinatorics of network reliability, International Series of Monographs on Computer Science
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This book develops combinatorial tools which are useful for reliability analysis, as demonstrated with a probabilistic network model. Basic results in combinatorial enumeration are reviewed, along with classical theorems on connectivity and cutsets. More developed

Languages and machines: an introduction to the theory of computer science
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Languages and machines : an introduction to the theory of computer . Theory of Computing 2015/2016 (FUB MSc in Computer Science ) Languages and Machines, which is intended for computer scientists in the theoretical foundations of their subject, gives a mathematically sound In the late 1960s and early 1970s, the concepts of graph transformation and graph grammars started to become of interest in picture processing and computer science . The main idea was to generalize well-known rewriting techniques from strings and trees to Parsing is the process of structuring a linear representation in accordance with a given grammar. This definition has been kept abstract on purpose to allow as wide an interpretation as possible. The linear representation may be a sentence, a computer

The Cambridge distributed computing system. International computer science series
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The Development of Component-based Information Systems Google Books Result The Cambridge Distributed Computing System is an early discontinued distributed operating system, . (International computer science series) Bibliography: p. The 100 Best Computer Science Programs in the

Logic and the challenge of computer science
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Nowadays computer science is surpassing mathematics as the primary field of logic applications, but logic is not tuned properly to the new role. In particular, classical logic is preoccupied mostly with infinite static structures whereas many objects of interest in

Computer science unplugged
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For kids ages 7 to 14: This educational 50 minute show is an action-packed, zany time exploring neat ideas in computer science . It has been performed for over 20 years in classrooms, science museums, science festivals, and at educational events. Kids, and the

The Profession of IT, Is Computer Science Science
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COMMUNICATIONS OF THE ACM draw on the same fundamental principles. In 1989, we used the term computing instead of computer science , mathematics, and engineering. Today, computing science, engineering, mathematics, art

Discrete mathematical structures with applications to computer science
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The objectives of the course are: To develop Professional Skills through effective communication To introduce a number of Mathematical Foundation to be serving as tools even today in the development of theoretical computer science To gain some confidence on

Bringing computational thinking to K-12: what is Involved and what is the role of the computer science education community
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When Jeanette Wing [13] launched a discussion regarding the role of computational thinking across all disciplines, she ignited a profound engagement with the core questions of what computer science is and what it might contribute to solving problems across the

Modern DC-to-DC Switchmode Power Converter Circuits (Van Nostrand Reinhold Electrical/ Computer Science and Engineering Series)
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As each area of technology with a potential for significantly impacting any major segment of the electronics industry evolves, it often is accompanied by the development of a succession of new circuits. Each new circuit indeed appears different, employing different components

Information technology research: A practical guide for computer science and informatics
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Information Technology Research: A Practical Guide for Computer

Scientific methods in computer science
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ABSTRACT This paper analyzes scientific aspects of Computer Science . First it defines science and scientific method in

Active learning and its use in computer science
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Student learning and the depth of the students knowledge increase when active learning methods are employed in the classroom. Active learning strategies are discussed in general computer science course work and as used in a theory of computation course. Difficulties

Why the high attrition rate for computer science students: some thoughts and observations
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1. Introduction At our university, there are over four hundred declared majors in Computer Science . Each semester, however, only about fifteen to twenty students graduate in this field. The freshman courses comprise overflowing multiple sections, but the upper level courses make

Form and content in computer science
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The trouble with computer science today is an obsessive concern with form instead of content. No, that is the wrong way to begin. By any previous standard the vitality of computer science is enormous; what other intellectual area ever advanced so far in twenty years

Why women avoid computer science
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COMMUNICATIONS OF THE ACM did these numbers drop, and why more sharply for women than for men For men, the explanation is obvious. Traditional paths to wealth like law, medicine, and business are more certain, and over the
for the last decade. A retrieval way which mix texture, color and shape feature is future in this paper. In this research, implemented a novel method for CBIR

A New Method for Biometric Application using PCG Signals
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honocardiogram (PCG) signals as a biometric is a new and novel method for user identification. Use of PCG signals for user recognition is a highly reliable method because heart sounds are produced by internal organs and cannot be forged easily as compared to

Authentication by Gesture Recognition: a Dynamic Biometric Application
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With the expansion of digital information and the number of people potentially able to access it, there are increasing demands for efficient, secure systems which authenticate users effectively. At the end of the 1960s, IBM defined three authentication factors: knowledge

Implementation of Image Authentication using Watermarking with Biometric Application
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This paper presents a secure watermarking scheme that inserts biometric data into images found in forms of identification. Putting biometric data deals privacy related issues. Here we present a software approach to implement such type of idea or giving a basic platform to

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Face recognition is the desired mode of identity recognition by humans: It is natural, tough and unintrusive. However, automatic Face recognition techniques have failed to match up to expectations: Variations in position, expression and illumination decrease the performance

Decision Fusion for Palmprint Biometric Application
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Most previous research in the area of individual authentication using the palm print as a biometric element has concentrated on enhancing accuracy yet resistance to attacks is also a centrally important feature of any biometric security system. Palm print recognition being

Frequency analysis of Brain signals for Biometric Application
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In this research we proposed a novel authentication method based on electroencephalogram (EEG) responses of individuals while writing their own signature and others signature. Two healthy male subjects (average years 27) participated in the

Comparative Analysis of Various Edge Detection Techniques in Biometric Application
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Authentication and Identification is one of the key features of Biometric Application . In such applications before generating the templates, a feature is extracted from the input image captured by a sensor after pre-processing. In pre-processing steps, the goal is to enhance

HFDA: Hybrid Face Detection Algorithm for Analyzing of Biometric Application
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Edges characterize boundaries and are therefore a problem of fundamental importance in image processing. Image Edge detection significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image

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The Job selection process in todays globally competitive economy can be a daunting task for prospective employees no matter their experience level. Although many years of research has been devoted to job search and application resulting in good integration with

Retinal vascular Segmentation, classification and Verification using particle swarm optimization for biometric application
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Biometric authentication plays an important role in this paper. Biometrics is measurable biological (anatomical and physiological) and behavioral characteristics that can be used for automated reorganization Among the features measured for physiological are face

Detection of Fake Biometric : Application to Face Recognition, IRIS and FINGERPRINT
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Spoofing is one of the most problem in developing security world.. In future world security is the important to every person.. So we need to develop new method to find and rectifies the spoofing datas. In this paper, we present a novel software-based fake detection method that

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1.1. Motivation and Background In order to improve document and border security, the US Department of State has been testing a pilot program of the first US electronic passport. The electronic passport contains an integrated chip embedded in the cover which stores the

Biometric Properties for Identification in A Secure E-Voting Application
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1.3. Biometric application In this section biometric application in banking and payment Figure 1.3.1 shows Usage of Biometric Technologies among 1.3.1. Usage of Biometric Technologies Among banks in the Source (adop

Application of artificial neural networks forhandwritten biometric images recognition
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In cases when keys are formed outside the biometric application , the value of the hash function can be brought to the specified one if it is added according to the module of two with the addition

E-Voting security system through Biometric Cloud Computing Integration with virtual server application
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5.3. Configuration of PaaS : PaaS is the combination structure of IaaS and SaaS and work accordingly also. PaaS supports larger version biometric application in business scenario. 6. Virtualization related with biometric cloud computing

J Montalvao, L Molina ,Pattern AnalysisApplications, 2010 ,Springer
Abstract A new approach for both hand image segmentation and feature extraction is
described. The main advantage of this approach, namely its robustness to low quality
images, is illustrated through verification experiments with two public databases: one with 

Image Processing Analysis of Oil Palm Fruits for Automatic Grading
KH Ghazali, R Samad, NW Arshad ,2009 ,
Abstract Nowadays, image processing is widely used in automation and manufacturing
production. Invention of digital camera and digital computing system allows researcher all
over the world to implement image analysis in most of engineering works. In agriculture 

Recognition Of Powdery Mildew Disease For Betelvine Plants Using Digital Image Processing
J Vijayakumar ,International Journal, 2012
ABSTRACT The fresh leaves of betel vine are generally known as paan in India, which are
inspired by about 20–30 million people in the country. It is cultivated in India about 75,000
hectares with an annual production worth about Rs. 1000 millions. Betelvine plants may