Detection of Microaneurysms in Retinal Angiography Images Using the Circular Hough Transform
Publish place: Journal of Advances in Computer Research، Vol: 3، Issue: 1
Publish Year: 1390
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JACR-3-1_001
تاریخ نمایه سازی: 16 شهریور 1395
Abstract:
This paper presents an automated method for detecting microaneurysms in the retinal angiographic images by using image processing techniques. In the presented method, in order to fade or remove the pseudo images, first retinal images are pre-processed. Then microaneurysms are identified by circular Hough transform. In the existing methods of detecting microaneurysms, it is necessary to identify the vessels in the surface of the retina and to remove them from the background of the image. But in the proposed method, first by using the circular Hough transform the central point of the microaneurysms lesion is identified. Then by using the region growing technique, the total areas of pixels associated with these lesions are identified. In this proposed method due to the removal of the vascular diagnosis which has been very time consuming, the speed of the algorithm has significantly been increased. Results received from the retinal images of five patients show that the accuracy of the proposed method in detecting microaneurysms is about %88.5 that in comparison with other existing methods has higher speed and more accuracy.
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Authors
Sekineh Asadi Amiri
Department of Computer Engineering, Shahrood University of Technology, Shahrood, Iran
Hamid Hassanpour
Department of Computer Engineering, Shahrood University of Technology, Shahrood, Iran
Masoumeh Shahiri
Department of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran
Reza Ghaderi
Department of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran