Automatic detection of microaneurysms and hemorrhages in digital fundus images.
An efficient approach for automatic detection of red lesions in ocular fundus images based on pixel classification and mathematical morphology is proposed. Experimental evaluation of the proposed approach demonstrates better performance over other red lesion detection algorithms, and when determining whether an image contains red lesions the proposed approach achieves a sensitivity of 100% and specificity of 91%.
Kande
Giri Babu
GB
Vasireddy Venkatadri Institute of Technology, Nambur, 522508, Guntur, Andhra Pradesh, India. kgiribabu@yahoo.com
Savithri
T Satya
TS
Subbaiah
P Venkata
PV
D000465:Algorithms; D000783:Aneurysm / Q000000981:diagnostic imaging*; D003930:Diabetic Retinopathy / Q000175:diagnosis; D003952:Diagnostic Imaging / Q000379:methods; D005654:Fundus Oculi; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000379:methods; D011859:Radiography; D012166:Retinal Hemorrhage / Q000000981:diagnostic imaging; D012171:Retinal Vessels / Q000000981:diagnostic imaging; D012815:Signal Processing, Computer-Assisted