• DocumentCode
    228529
  • Title

    Bio-medical image enhancement based on spatial domain technique

  • Author

    Jindal, Khushhal ; Gupta, Kunal ; Jain, Manan ; Maheshwari, M.

  • Author_Institution
    Dept. of CSE & IT, ITM Univ., Gurgaon, India
  • fYear
    2014
  • fDate
    1-2 Aug. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a new technique of bio-medical image enhancement that ameliorates the subjective quality of medical images. In this paper, spatial domain technique is used with an eclectic strategy for enhancing the image which comprises of methods like edge detection, smoothing, power law transform and high-boost filter. This technique is analyzed on dark medical images and the result is verified by comparing the entropy at different gamma values, further it can also be verified by human visualization. The result presented in this paper demonstrates that the application of spatial domain technique on a dark medical image yields a better quality, which makes it suitable for pre-processing of medical image applications.
  • Keywords
    edge detection; entropy; image enhancement; image filtering; medical image processing; smoothing methods; biomedical image enhancement; eclectic strategy; edge detection; entropy; gamma values; high-boost filter; human visualization; power law transform; smoothing; spatial domain technique; Biomedical imaging; Brightness; Entropy; Histograms; Image edge detection; Image enhancement; Laplace equations; Histogram equalization; Image enhancement; Non-linear transform; Spatial domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Engineering and Technology Research (ICAETR), 2014 International Conference on
  • Conference_Location
    Unnao
  • ISSN
    2347-9337
  • Type

    conf

  • DOI
    10.1109/ICAETR.2014.7012932
  • Filename
    7012932