• DocumentCode
    3591728
  • Title

    Efficient Enhancement of Microarray Image Using Histogram Specification

  • Author

    Dappin, Satish G. ; Manjunath, S.S. ; Rangarajan, L. ; Shetty, Sahana Santosh

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Coll. of Eng., Bangalore, Malaysia
  • Volume
    1
  • fYear
    2009
  • Firstpage
    247
  • Lastpage
    251
  • Abstract
    In this paper, we propose image enhancement of microarray images using histogram specification method. The proposed approach consists of system model that discuss about finding the type of noise present in the image and enhancing image by removing the noise present in the image. The proposed method is very efficient as it enhances image by revealing most of the microarray spots which is used for subsequent stages of microarray analysis. Performance analysis is done to measure the efficiency by which image is enhanced. The algorithm uses peak signal to noise ratio and mean squared error to quantify the degree of degradation.
  • Keywords
    image enhancement; mean square error methods; probability; histogram specification method; mean squared error; microarray image enhancement; peak signal-to-noise ratio; performance analysis; Computer science; Educational institutions; Filtering; Gene expression; Histograms; Image analysis; Image enhancement; Image segmentation; Noise level; PSNR; Enhancement; Histogram; Histogram specification; Mean Squared Error; Microarray; Peak Signal to Noise Ratio; Probability density function; Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Technology and Development, 2009. ICCTD '09. International Conference on
  • Print_ISBN
    978-0-7695-3892-1
  • Type

    conf

  • DOI
    10.1109/ICCTD.2009.173
  • Filename
    5359722