• DocumentCode
    2817244
  • Title

    A method to determine the size of the structuring element in morphological correction of non-uniform illumination

  • Author

    Lorenzo-Ginori, Juan V.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Central “Marta Abreu” de Las Villas, Las Villas, Cuba
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    1453
  • Lastpage
    1456
  • Abstract
    Correction of uneven illumination in images is frequently used as a preprocessing step, for which morphological processing is a well established technique. This task has some specific characteristics for images containing disjoint blobs. These images appear frequently in applications like cellular imaging, where it is often necessary to process them in large amounts. In such cases, achieving a high degree of automation becomes an important factor. When correcting uneven illumination by morphological processing for this class of images, selecting an appropriate size for the structuring element (SE) is a relevant issue. In this work, a method based in grayscale morphological operations is presented, to determine an appropriate size of the SE. The effectiveness of the method was tested through simulations using images derived from real world examples. Results are presented in terms of tables showing the precision in recovering the original image intensities, as well as through illustrative images.
  • Keywords
    biology computing; cellular biophysics; image processing; cellular imaging; grayscale morphological operations; image intensities; image uneven illumination correction; morphological correction; morphological processing; nonuniform illumination; size determination method; structuring element; Conferences; Gray-scale; Image segmentation; Lighting; Microscopy; Transforms; Uneven illumination; morphological image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6115715
  • Filename
    6115715