Abstract: This paper presented a new approach to detect microaneurysms (MAs) in digital fundus images.The contributions of this approach are mainly twofold.First,the dynamic multi-parameter template matching scheme was proposed in this paper,which is more realistic compared to conventional schemes.We applied the dual constraints scheme to measure the matching degree by combining the sum of errors and correlation coefficients.Second,an adaptive weighted scoring algorithm with distribution character based scoring scheme was proposed on feature extraction for the MAs detection,which can not only reduce false positive (FP),but also maintain the true positive (TP) effectively.

Key words: Diabetic retinopathy,Microaneurysms (MAs),Dynamic multi-parameters template matching scheme,Artificial neural network