• DocumentCode
    2245229
  • Title

    Identification of lanes and bands in DNA autoradiogram images

  • Author

    Agarwal, A. ; Manohar, C. Srinivas ; Pujari, Arun K.

  • Author_Institution
    Artificial Intelligence Lab., Hyderabad Univ., India
  • fYear
    1995
  • fDate
    15-18 Feb 1995
  • Abstract
    The present work is concerned with the application of image processing to an off-line DNA autoradiogram images. The varying morphology of lanes, nonuniformity in band shapes, intensities and spacing, the spatially varying background of the image and gel-preparative and digitization variations in the autoradiogram images make conventional techniques of image processing unsuitable. The proposed technique is adaptive taking varying background and unpredictable nature of the bands into account. The authors have successfully accomplished lane detection, lane straightening, adaptive enhancement of lane images and band detection
  • Keywords
    DNA; adaptive signal processing; biological techniques; image segmentation; molecular biophysics; radioisotope imaging; DNA autoradiogram images; bands; digitization variations; filtering; gel-preparative variations; histogram; lane straightening; lanes; spatially varying background; varying background; Application software; Artificial intelligence; Computed tomography; DNA computing; Equations; Filtering; Image processing; Image segmentation; Laboratories; Morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1995 and 14th Conference of the Biomedical Engineering Society of India. An International Meeting, Proceedings of the First Regional Conference., IEEE
  • Conference_Location
    New Delhi
  • Print_ISBN
    0-7803-2711-X
  • Type

    conf

  • DOI
    10.1109/RCEMBS.1995.511695
  • Filename
    511695