• DocumentCode
    3320750
  • Title

    Enhancement and Denoising of Near-Infrared Image with Multiscale Morphology

  • Author

    Gao, Zhiyong ; Ma, Zhifeng ; Chen, Xinhao ; Liu, Haihua

  • Author_Institution
    Coll. of Biomed. Eng., South-Central Univ. for Nat., Wuhan, China
  • fYear
    2011
  • fDate
    10-12 May 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Near-infrared imaging (NIR) is non-invasive and feasible for the detection of breast cancer and is widely used. But the local contrast of NIR image is low and there are many kinds of noises in the image. Therefore, enhancement and denoising are needed to facilitate diagnosis. This paper presented a method based on multiscale morphology to enhance NIR image while reduce noises. Different weights related with different objects are set to enhance meaningful dark objects such as blood vessels and shadow in NIR image. Experimental results and subjective evaluation show that the method is effective and satisfactory.
  • Keywords
    biomedical optical imaging; blood vessels; image denoising; image enhancement; medical image processing; blood vessels; dark objects; multiscale morphology; near-infrared image denoising; near-infrared image enhancement; Breast cancer; Image enhancement; Imaging; Morphology; Noise; Noise reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2151-7614
  • Print_ISBN
    978-1-4244-5088-6
  • Type

    conf

  • DOI
    10.1109/icbbe.2011.5780209
  • Filename
    5780209
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3320750