Abstract
In the current study we try to optimise the cancerous/normal tissue contrast perception using white light and autofluorescence image processing. We deconvolved the RGB channels of both white light and autofluorescence images pixel by pixel and pointed out the best contrast enhancement technique, manipulating each channel seperately. By using false-color mapping according to a particular Look-Up Table, the borders between normal and cancerous area of the tissue are better delineated. Cancer tissue identification was confirmed by the histological examination that followed our investigation.
© 2009 OSA/SPIE
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