A review of vessel extraction techniques and algorithms
ACM Computing Surveys (CSUR)
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Images of the retina taken as a routine opthalmologic procedure can provide early indications of damage to the retinal nerve fiber layer. Automatic processing of such images for screening is hindered by variable image acquisition and film processing parameters, and interference from the vessel structure in the image. This papers presents procedures for equalizing the image variability so that nonlinear morphological filtering methods can be used to locate and model vessel segments. Frequency domain analysis can then be used to assess texture parameters in the areas which do not include vessels.