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Automatic Detection of Microaneurysms and Hemorrhages in Digital Fundus Images |
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| Authors: | Giri Babu Kande T. Satya Savithri P. Venkata Subbaiah |
| Affiliation: | (1) Vasireddy Venkatadri Institute of Technology, Nambur, 522508 Guntur, Andhra Pradesh, India;(2) Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Hyderabad, Andhra Pradesh, India;(3) Amrita Sai Institute of Science and Technology, Paritala, Andhra Pradesh, India |
| Abstract: | 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%. |
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