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Medical Image Processing Using Matlab

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  • Emilia Dana SELEŢCHI

    (University of Bucharest, Romania)

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    Abstract

    MATLAB and the Image Processing Toolbox provide a wide range of advanced image processing functions and interactive tools for enhancing and analyzing digital images. The interactive tools allowed us to perform spatial image transformations, morphological operations such as edge detection and noise removal, region-of-interest processing, filtering, basic statistics, curve fitting, FFT, DCT and Radon Transform. Making graphics objects semitransparent is a useful technique in 3-D visualization which furnishes more information about spatial relationships of different structures. The toolbox functions implemented in the open MATLAB language has also been used to develop the customized algorithms.

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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/SU08/JISOM-SU08-A19.pdf
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    Bibliographic Info

    Article provided by Romanian-American University in its journal Journal of Information Systems and Operation Management.

    Volume (Year): 2 (2008)
    Issue (Month): 1 (July)
    Pages: 194-210

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    Handle: RePEc:rau:jisomg:v:2:y:2008:i:1:p:194-210

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    Related research

    Keywords: Histogram; 3-D Surface Plot; Round-off Noise Power Spectrum;

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