digital image processing research paper 2012-section2
Identify defects in Plastic (gears) using Digital image processing-A Review
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A Mavi ABSTRACT Detection of bad quality plastic gears is critical for any manufacturing unit trying to make a mark in the market in terms of quality standard and cost. Here we explore the possibility of using image segmentation and algorithms like non-smooth surface detection
Mathematical methods for time series analysis and digital image processing
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E Klann, P Maass ,math.uni-bremen.de ABSTRACT. In this paper we construct a method for the treatment of ill-posed inverse problems which is based on the combination of classical regularization methods and wavelet shrinkage. We assume that we deal with a smoothing operator in Sobolev scales and that
LUNG CANCER DETECTION USING DIGITAL IMAGE PROCESSING
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A Chaudhary ,euroasiapub.org ABSTRACT In recent years the image processing mechanisms are used widely in several medical areas for improving earlier detection and treatment stages, in which the time factor is very important to discover the disease in the patient as possible as fast, especially in
Mathematical methods for time series analysis and digital image processing
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C Bandt, G Keller ,math.uni-bremen.de ABSTRACT In an attempt to find fast and robust methods for data mining, we study time series by counting order patterns of 2, 3 or 4 equally spaced values. The statistics for stationary Gaussian processes is given. The pattern distribution for some well-known empirical time
Mathematical methods for time series analysis and digital image processing
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V Reitmann ,math.uni-bremen.de ABSTRACT. Realization theory for linear input-output operators and frequency-domain methods for the solvability of Riccati operator equations are used for the stability and instability investigation of a class of nonlinear Volterra integral equations in some Hilbert space. The
SGN-3057 Digital Image Processing II Fingerprint processing
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A Migukin ,cs.tut.fi Page 1. Tampere University of Technology, Institute of Signal Processing SGN-3057 Digital Image Processing II Fingerprint processing Artem Migukin Department of Signal Processing, Tampere University of Technology (TUT) 2012 Page 2.
Mathematical methods for time series analysis and digital image processing
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P Fryzlewicz, T Sapatinas ,math.uni-bremen.de ABSTRACT We consider estimation in the recently proposed class of time-varying locally stationary ARCH (p) models. We define a local normalised least-squares criterion which, unlike the previously proposed local quasi-maximum likelihood criterion, has the
THE USE OF DIGITAL IMAGE PROCESSING TO FACILITATE DIGITIZING LAND COVER ZONES FROM GRAY LEVEL AERIAL PHOTOS
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ABSTRACT Aerial imagery from the 1930s to the early 1990s was predominantly acquired using black and white film. Its use in remote sensing applications and GIS analysis is constrained by its limited spectral information and high spatial resolution. As a historical record and to
Mathematical methods for time series analysis and digital image processing
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K Krajsek ,math.uni-bremen.de ABSTRACT This paper deals with steerable filters in context of motion estimation. Whereas the classical brightness constancy constraint equation (BCCE) connects the optical flow with the first order directional derivative filter of the observed signal, weAbstract to the most
Content-Based Image Retrieval Using Support Vector Machine in digital image processingtechniques
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RR Eamani ABSTRACT The rapid growth of computer technologies and the ad-vent of the World Wide Web have increased the amount and the complexity of multimedia information. A content-based image retrieval (CBIR) system has been developed as an ef-ficient image retrieval tool,
DEVELOPMENT OF DIGITAL IMAGE PROCESSING CLASSIFICATION TECHNIQUES USING NEURAL NETWORKS
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D Vasumathi ,gjmr.org ABSTRACT We have numerous applications of Digital Imaging processing on remote sensing data. Traditionally various steps involve digital analysis, Initial Statistical Extraction, Image Rectification and Restoration, Image Enhancement, Spatial Filtering, Image
Mathematical methods for time series analysis and digital image processing
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D Maraun, W Horbelt, H Rust ,math.uni-bremen.de ABSTRACT Analyzing data of biochemical reaction dynamics monitored by time-resolved spectroscopy, one faces the problem that the concentration time courses of the involved components are not directly observed but only the superposition of their absorption
Mathematical methods for time series analysis and digital image processing
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M Mhlich ,math.uni-bremen.de ABSTRACT Recent research provided several new and fast approaches for the class of parameter estimation problems that are common in computer vision. Incorporation of complex noise model (mostly in form of covariance matrices) into errors-in-variables or
DIGITAL IMAGE PROCESSING OF STRUCTURE RESPONSE
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M Petrk ,engmech.cz ABSTRACT This paper deals with an easily available means of vibration measurement which is the digital image processing. A method is proposed whose internal procedures are described in detail and its applications are discussed. The usability verification of the
Mathematical methods for time series analysis and digital image processing
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O Hansen, S Fischer ,math.uni-bremen.de ABSTRACT In this paper we present a novel method for the stable inversion of Mellin convolution operators. Although the inverse operator is explicitly known for this class of operators, regularization techniques have to be used due to the ill–posedness of the
Plane Flow Analysis for a Profile Extrusion Die Using Digital Image processing Technique
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SK Jawad, AA Khleif ABSTRACT This paper investigates the applicability of the proposed digital image correlation (DIC) system instead of traditional method by microscope to measure the strains in forward extrusion process, which conducted for rectangular section with plane strain
Mathematical methods for time series analysis and digital image processing
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K Kurennaya, M Kulesh ,math.uni-bremen.de ABSTRACT We present a modification of the nearest neighbours method in order to improve accuracy of forecast of a time series. This modification is characterized by an adaptive metrics, which is able to adjust its parameters to each segment of a time series.
Mathematical methods for time series analysis and digital image processing
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SS Rao ,perso.telecom-paristech.fr ABSTRACT In this paper our object is to show that a certain class of nonstationary random processes can locally be approximated by stationary processes. The class of processes we are considering includes time-varying ARCH, GARCH, random coefficients ARCH and
Ways of Digital Image Processing to Obtain Fast and Unbiased Results
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K OSTERLOH ,ndt.net ABSTRACT The ultimate purpose of digital image filtering is to support the visual identification of certain features expressed by characteristic shapes and patterns. Numerous recipes, algorithms and ready made programs exist nowadays that predominantly have in common
Using Compute Unified Device Architecture (CUDA) in Parallelizing Different Digital Image Processing Techniques
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MNA Silapan ,jachermocilla.org ABSTRACT Graphics Processing Units (GPUs) have been conventionally used in the acceleration of 2D, 3D graphics and video rendering. Because of its performance and capability, the GPU has evolved into a highly parallel programmable processor that
Mathematical methods for time series analysis and digital image processing
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M Winterhalder, B Schelter, J Kurths ,math.uni-bremen.de ABSTRACT Investigation of interrelations in the dynamics between different brain structures, captured by electromagnetic signals as carriers for information transfer and recorded usually by electroencephalography or magnetoencephalography, are still of particular interest in
Prohist: A Digital Library For Image Processing of Historical Documents
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S Soares ,liber.ufpe.br Resumo: PROHIST Digital Library is a new environment for images of historical documents with several features not common in digital libraries nowadays, as the use of specific algorithms for image processing. This allows the generation of different types of content
Mathematical methods for time series analysis and digital image processing
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J Weickert, G Steidl, P Mrzek, M Welk ,mia.uni-saarland.de ABSTRACT Nonlinear diffusion filtering and wavelet shrinkage are two methods that serve the same purpose, namely discontinuity-preserving denoising. In this chapter we give a survey on relations between both paradigms when space-discrete or fully discrete
A-1 Vol. No Digital Image and Video Processing (a)
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MG Sumithra ,srishakthiinstitute.com A-1 Vol.No Digital Image and Video Processing (a) 10-Jan-12 1.30 PM to 4.30PM A-1 CS 2021 2 Processor Co-Allocation Enabling Advanced Reservation of Jobs in Multicluster Systems B-2 Vol.No Digital Image and Video Processing (a) 11-Jan-12 9 AM ,1.PM B-2 CS 4005
Digital Image Processing I
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T Altiok, B Melamed ,Modulhandbuch zum Akkreditierungsbericht ,eim.uni-paderborn.de • The theoretical and methodic fundamentals will be introduced during the lecture.• The methods presented will be practiced during the subsequent exercise/lab part.• Finally, the participants will implement, test, and apply simple image processing algorithms.• The
Mathematical methods for time series analysis and digital image processing
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CS Garbe, H Spies
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digital image processing research paper 2012
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