image processing research paper 1001

image processing research paper 1001


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Fundamentals of Biomedical Image Processing
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This chapter gives an introduction to the methods of biomedical image processing. After some fundamental preliminary remarks to the terminology used, medical imaging modalities are introduced (Sect. 1.2). Sections 1.3 and 1.4 deal with low-level image processing and

Image Processing On Line: Algorithmes+ Implmentations+ Dmonstrations
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Image Processing On Line (IPOL) est une nouvelle manire de valider, diffuser, et partager la recherche en mathmatiques appliques. Sous la forme d un journal scientifique de traitement d image, IPOL publie en ligne des algorithmes et leur implmentation, ainsi qu

Pore structure of ore granular media by computerized tomography image processing
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ABSTRACT The pore structure images of ore particles located at different heights of leaching column were scanned with X-ray computerized tomography (CT) scanner, the porosity and pore size distribution were calculated and the geometrical shape and connectivity of pores

Neural based Post Processing Filtering Technique for Image Quality Enhancement
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 accompanied by contamination with impulse noise. It is imperative, and even indispensable, to remove these corrupted pixels to facilitate subsequent image processing operations. Existing switching- based median filters [1

Applications of digital image processing XXI
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The papers included in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations may not be available for publication.

Mathematical Elements of Deformable Models for Image Processing
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Active Contour Models, also called Snake models, are powerful techniques for boundary extraction and segmentation of 2D images. Despite of their abilities, the non-invariance of the internal energy under affine transformations, the nonconvexity of the model energy

Mechanics of Electronic textiles Deformation analysis using image processing
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ABSTRACT In the present study mechanics of textiles are under consideration. Studying the effect of components on textile substrates is the aim of this study. Numerical models are available to approximate textile behavior and require input parameters. These parameters

Ballistics Image Processing and Analysis for Firearm Identification
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The identification of firearms from forensic ballistics specimens is an exacting and intensive activity performed by specialists with extensive experience. The introduction of imaging technology to assist the identification process of firearms has enhanced the ability of

repulsion expectation-maximization algorithm for image processing and sensor field networks
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ABSTRACT An attraction-repulsion expectation-maximization (AREM) algorithm for density estimation is proposed in this paper. We introduce a Gibbs distribution function for attraction and inverse Gibbs distribution for repulsion as an augmented penalty function in order to

ASTROINFORMATICS–A STUDY ABOUT CONSTRAINTS AND REQUIREMENTS FOR NEXT GENERATION ASTRONOMICAL IMAGE PROCESSING
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ABSTRACT A concept of a new software architecture for astronomical image processing is presented. Current approaches of astronomical data extraction are explained: photometry, astrometry and high-resolution imaging. The methods seem incommensurate with each

Aerial Image Acquisition and Processing for Remote Sensing
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 Through digital image processing these small format optical and multi-spectral camera images can obtain ortho- mosaics that meet quality standards at a fraction of the cost of traditional heavier manned vehi- cle equipment.

New Model and Applications of Cellular Neural Networks in Image Processing
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The cellular neural network (CNN) in its standard form as defined by Chua and Yang has become a paradigm of analog, high speed computation, with various applications in parallel signal processing, especially in image processing tasks. Within two decades this domain

Egg Volume Determination by spheroid approximation and image processing
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ABSTRACT Egg volume was determined using water displacement, spheroid approximation and image processing methods. The length and diameter of each egg was used in the Spheroid Approximation Method (SAM). Surface image of each egg, captured with a

Non-destructive watermelon ripeness determination using image processing and artificial neural network (ANN)
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ABSTRACT Agriculture products are being more demanding in market today. To increase its productivity, automation to produce these products will be very helpful. The purpose of this work is to measure and determine the ripeness and quality of watermelon. The textures on

Medical Image Processing by using Soft Computing Methods and Information Fusionn
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ABSTRACT Medical images are increasingly being used within healthcare for diagnosis, planning treatment, guiding treatment and monitoring disease progression. Technically, medical imaging mainly processes uncertain, missing, ambiguous, complementary,

Influence of image processing on line-edge roughness in CD-SEM measurement
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ABSTRACT The necessity for and validity of the bias-free line-edge roughness (LER) evaluation are examined. In a typical case, the LER obtained by the conventional method is found to contain 10% or more bias caused by noise. That is, the biasfree LER evaluation .

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