Journal - Volume I No.1 September 2014 , Special Issue-1

  • » Back to Index

  • Title

    :

    A COMBINED PCA MODEL FOR DENOISING OF CT IMAGES

    Authors

    :

    Mredhula.L 2Dorairangaswamy M A

    Keywords

    :

    Denoising, CT images, Principal component analysis ,Gaussian

    Issue Date

    :

    September - 2014

    Abstract

    :

    Digital images play a vital part in the medical field in which it has been utilized to analyze the anatomy. These medical images are used in the identification of different diseases. Regrettably, the medical images have noises due to its different sources in which it has been produced. Confiscating such noises from the medical images is extremely crucial because these noises may degrade the quality of the images and also baffle the identification of the disease. Hence, denoising of medical images is indispensable. In medical imaging, the different imaging techniques are called modalities. Anatomical modalities provide insight into the anatomical morphology. They include radiography, ultrasonography or ultrasound (US), computed tomography (CT), and magnetic resonance imagery (MRI).Image denoising is one of the classical problems in digital image processing, and it has a important role as a pre-processing step in various applications. The main objective of image processing is to recover the best estimate of the original image from its noisy version .

    Page(s)

    :

    46 - 50

    ISSN

    :

    2347- 4734

    Source

    :

    Vol. 1, No.1 - Special Issue-1

    Download

    :


  • » Back index