Automated microaneurysms detection and classification using multilevel thresholding and multilayer perceptron
The purpose of this paper is to propose an automatic detection of microaneurysms (MAs) in the fundus retina images. In this work, E-optha database of 100 images were utilised to test the performance of the proposed method. The approach covers pre-processing, segmentation, post-processing, feature ex...
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Main Authors: | , , , |
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Format: | Article |
Published: |
Springer Verlag (Germany)
2020
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Subjects: | |
Online Access: | http://eprints.um.edu.my/36868/ |
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Institution: | Universiti Malaya |