image processing research paper-33





Application of a distributed systems architecture for increased speed in image processingon an autonomous ground vehicle
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  O Momin, YH Shin ,Society of Photo- , 2010 ,adam-wright.net
ABSTRACT This paper presents the application of a distributed system architecture to an
autonomous ground vehicle, Q, that participates in both the autonomous and navigation
challenges of the Intelligent Ground Vehicle Competition (IGVC). In the autonomous 

How to formulate image processing applications
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A Renouf, R Clouard , on Computer Vision , 2007 ,biecoll.ub.uni-bielefeld.de
Abstract. This paper presents an ontology-based system for helping inexperienced users
formulate image processing applications. We propose models and their formalization
through ontologies that identify and organize the necessary and sufficient information to 

Facial expression recognition for speaker using thermal image processing and speech recognition system
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Y Yoshitomi ,Proceedings of the 10th WSEAS international , 2010
Abstract:-I investigated a method for facial expression recognition for a human speaker by
using thermal image processing and a speech recognition system. In this study, we
improved our speech recognition system to save thermal images at the three timing 

Embedded based Implementation: Controlling of Real Time Traffic Light using Image Processing
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GL Singh, MM Parthido ,IJCA Proceedings on , 2012 ,research.ijcaonline.org
ABSTRACT We would like to bring to your attention about the problems which we face every
day. Road accident is an important problem in modern world. If we observe seriously the
causes of road accidents we found that narrow roads and rapid increase of means of 

Optimization of a Hyperspectral Image Processing Chain Using Heterogeneous and GPU-Based Parallel Computing Architectures
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Abstract Hyperspectral imaging is a new technique in remote sensing that generates
hundreds of images, at different wavelength channels, for the same area on the surface of
the Earth. In recent years, several efforts have been directed towards the incorporation of 

Optimization of image processing techniques using Neural Networks–A Review

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PT Bharathi ,WSEAS Transactions on Information Science , 2011
Abstract:-This paper reviews the application of artificial neural networks in image
preprocessing. Neural networks, especially uses feed-forward neural networks, Kohonen
feature maps, back-propagation neural networks, multi-layer perception neural networks 

Remarks on hardware implementation of image processing algorithms
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M Wnuk ,International Journal of Applied Mathematics and , 2008 ,Versita
Image processing in industrial vision systems requires both real-time speed and robustness.
Modern computers, which fulfill the first demand, are sensitive to hard industrial environment
conditions and require considerable amounts of energy. Programmable logic chips are 

SENTINEL-2 image quality and level 1 processing
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A Meygret, S Baillarin, F Gascon ,Proceedings of , 2009
 Accuracy of image location: 20m (3s) After image processing without control points Accuracy of
image location: 12.5m (3s) After image processing with control points Multitemporal registration:
3m (2s) for 10m bands 6m (2s) for 20m bands 18m (2s) for 60m bands 

Urban texture analysis with image processing techniques: winds and dispersion
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  S Di Sabatino ,Theoretical and applied climatology, 2006 ,Springer
Summary The focus is the analysis of urban Digital Elevation Models (DEMs) with image 
processing techniques. A brief review of existing methods to derive sky view factors, building
energy consumption and space syntax shows how well established parameters that relate

An overview of the topological gradient approach in image processing: advantages and inconveniences
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LJ Belaid ,Journal of Applied Mathematics, 2010
Image analysis by topological gradient approach is a technique based upon the historic
application of the topological asymptotic expansion to crack localization problem from
boundary measurements. This paper aims at reviewing this methodology through various 

Gradient Schemes for Image Processing
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R Eymard, A Handlovicová, R Herbin ,Finite Volumes for , 2011 ,Springer
We present a gradient scheme (which happens to be similar to the MPFA finite volume O-
scheme) for the approximation to the solution of the Perona-Malik model regularized by a
time delay and to the solution of the nonlinear tensor anisotropic diffusion equation. 

Image Processing
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Q Tian ,2011 ,cs.utsa.edu
1. Notice that the line segment is self-similar. It can be separated into 4= 4^ 1″ miniature”
pieces. Each is 1/4 the size of the original. Each looks exactly like the original figure when
magnified by a factor of 4 (magnification or scaling factor).

Image processing of small protein-crystals in electron microscopy
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DA Feinberg ,2011 ,escholarship.org
ABSTRACT This electron microscope study was undertaken to determine whether high
resolution reconstructed images could be obtained from statistically noisy micrographs by
the super-position of several small areas of images of well-ordered crystals of biological 

Signal and image processing research at the Lawrence Livermore National Laboratory
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RS Roberts, LA Poyneer ,Society of Photo- , 2009 ,e-reports-ext.llnl.gov
ABSTRACT Lawrence Livermore National Laboratory is a large, multidisciplinary institution
that conducts fundamental and applied research in the physical sciences. Research
programs at the Laboratory run the gamut from theoretical investigations, to modeling and 

processing techniques for image-based path planning of a mobile robot
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I Gavrilut, L Tepelea ,2011 ,atm.neuro.pub.ro
 The CNNs (Cellular Neural Networks) methods have been considered a good solution
for image processing in autonomous mobile robots guidance.  Key-Words: ,cellular neural
networks, image processing, path-planning, mobile robot 

Validation in medical image processing.
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P Jannin, E Krupinski ,IEEE Transactions on , 2006 ,hal.archives-ouvertes.fr
Medical imaging is one of our most powerful tools for gaining insight into normal and
pathological processes that affect health. The role of image processing in medicine is
expanding with the increasing importance of finding ways to improve workflow in reading 

Development of New Image Processing Framework by the Collaboration of FUJIFILM and Fuji Xerox
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K ITAGAKI, T IGARASHI, K MORITA ,PURPOSE OF , 2010 ,fujifilm.com
Abstract We developed a new image processing framework for different kinds of commercial
products to reduce the development time and cost. Many of those products were
independently designed for efficiency but without satisfying consumability and reusability, 







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