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Information Technology Journal
  Year: 2007 | Volume: 6 | Issue: 7 | Page No.: 1057-1062
DOI: 10.3923/itj.2007.1057.1062
Endothelial Cell Image Enhancement Using Non-Subsampled Image Pyramid
Mohammad A.U. Khan, M. Khalid Khan, M. Aurangzeb Khan and M. Talal Ibrahim

Abstract:
A corneal endothelial cell image provides vast amount of information about a human eye. The cell density and cell shape parameters of a given endothelial cell image help ophthalmologists in making many vital clinical decisions. The acquired endothelial image is poor in contrast where cell boundaries are masked in the background. Previously, most of the work was based on morphological operations in spatial domain. However, if we think of cell structure as texture hidden in noisy background, we can get help from wavelet-texture segmentation, a well studied area. In this study, we propose a non-subsampled Wavelet pyramid decomposition of lowpass region. At certain level of the pyramid, we start observing cleaner cell boundary structure which greatly facilitates its segmentation. Once segmented automatic cell counting can be used and simulation results have shown improvement in cell density count.
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How to cite this article:

Mohammad A.U. Khan, M. Khalid Khan, M. Aurangzeb Khan and M. Talal Ibrahim, 2007. Endothelial Cell Image Enhancement Using Non-Subsampled Image Pyramid. Information Technology Journal, 6: 1057-1062.

DOI: 10.3923/itj.2007.1057.1062

URL: http://scialert.net/abstract/?doi=itj.2007.1057.1062

 
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