• DocumentCode
    2977595
  • Title

    Breast sonogram and mammogram enhancement using hybrid and repetitive smoothing-sharpening technique

  • Author

    Al-Kindi, Sadeer G. ; Al-Kindi, Ghassan A.

  • Author_Institution
    Weill Cornell Med. Coll., Doha, Qatar
  • fYear
    2011
  • fDate
    21-24 Feb. 2011
  • Firstpage
    446
  • Lastpage
    449
  • Abstract
    A novel hybrid and repetitive smoothing-sharpening (HRSST) technique is proposed and its impact is assessed to beneficially enhance sonogram and mammogram images. The technique aims to gain and combine the advantages of both the sharpening process that aims to highlight sudden changes in the image intensity, with the advantages of iterative image smoothing, which is usually applied to remove random noise from digital images. Nevertheless the developed technique also eliminates the drawbacks of each of the two sharpening and smoothing techniques resulting from their individual application in image processing field. The proposed technique is tested on both breast ultra-sound (BUS) as well as breast X-ray mammograms. Results show that the proposed methodology has high potential to advantageously enhance the image contrast hence giving extra aid to radiologists to detect and classify sonograms and mammograms.
  • Keywords
    biological organs; biomedical ultrasonics; diagnostic radiography; image enhancement; mammography; medical image processing; smoothing methods; HRSST; breast; breast X-ray mammograms; breast ultrasound; digital images; hybrid and repetitive smoothing-sharpening technique; image classification; image enhancement; image smoothing; mammogram; random noise; sonogram; Arrays; Breast; Image edge detection; Noise; Pixel; Smoothing methods; Sonogram; Hybrid image enhancement; Mammogram enhancement; Repetitive image enhancement; Sonogram enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering (MECBME), 2011 1st Middle East Conference on
  • Conference_Location
    Sharjah
  • Print_ISBN
    978-1-4244-6998-7
  • Type

    conf

  • DOI
    10.1109/MECBME.2011.5752160
  • Filename
    5752160