We have studied feature extraction for
both anatomical structures, such as optic disc and blood
vessels, as well as various pathological lesions associated
with Diabetic Retinopathy (DR). This feature extraction
research is very valuable to improve the efficiency and
consistency of retinal image evaluation that is a
subjective, costly, and labor-intensive process.
Specifically, we have proposed a unique retinal
lesion detection algorithm that is able to deal with all five types of
DR lesion. The highlight of this lesion detection algorithm is a novel
combination between a linear parametric edge model and the non-linear multiscale morphological processing.
DR-related lesion detection results.
X. Zhang and G. Fan, “Retinal Spot Lesion Detection
Using Adaptive Multiscale Morphological Processing”, in Proc.
International Symposium on Visual Computing (ISVC), Lake Tahoe, NV, Nov.
11-13, 2006, also in LNCS, Vol. 4292, Editors: G. Bebis, Springer, 2006.