Retinal blood vessel localization approach based on bee colony swarm optimization, fuzzy c-means and pattern search ?
An automated retinal blood vessels segmentation approach based on two levels optimization principles is proposed. Uses the artificial bee colony optimization in conjunction with fuzzy cluster compactness fitness function. Pattern search is further used to enhance the segmentation results using shape description as a complementary feature.
retinal blood vessel swarm optimization fuzzy c-means pattern search artificial bee colony clustering retinal vessel segmentation image enhancement