Automated detection and segmentation of drusen in retinal fundus images ?
Designed a new drusen detection and segmentation method finding meaningful drusen boundaries. To find true edges of drusen, a gradient based segmentation procedure is described. Connected component labeling is applied to remove suspicious pixels from drusen region. Edge linking is used to connect all labeled pixels into a meaningful boundary to detect drusen. The performance of proposed method is evaluated by (i) statistical measures and (ii) quantification of drusen to grade severity of age-related macular degradation. The proposed work characterizes the detected drusen in small, intermediate, and large/soft to show its ability to grade age-related macular degradation severity level, helpful in early age-related macular degradation diagnosis.
segmentation drusen retinal fundus images grading age-related macular degeneration boundary extraction