The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 32-107
Full Name: M. Usman Akram
Position: Student
Age: ON
Sex: Male
Address: 91-F Farid Town, Sahiwal
Country: PAKISTAN
Tel: +923336913921
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Fax:
E-mail address: usmakram@gmail.com
Other E-mails: usmakram@hotmail.com
Title of the Paper: A Novel Approach for Colored Retinal Image Background and Noise Segmentation
Authors as they appear in the Paper: M. Usman Akram, anam tariq, Sarwat Nasir, Shoab A. Khan
Email addresses of all the authors: A Novel Approach for Colored Retinal Image Background and Noise Segmentation
Number of paper pages: 10
Abstract: - Medical image analysis is one of the research areas currently drawing strong interests of scientists and physicians because it can aid in clinical diagnosis on large scale. Diabetic retinopathy has been recognized as a leading cause of blindness among adults. Early detection and treatment of diabetic retinopathy is the key to preventing vision loss in diabetes. For the automated diagnosis of diabetic retinopathy, retinal images are used. The retinal image quality must be improved for the detection of features and abnormalities and for this purpose segmentation of retinal images is vital. In this article, we present a novel automated approach for segmentation of colored retinal images. Our segmentation technique smoothes and strengthens images by separating the background and noisy area from the overall image thus resulting in retinal image enhancement and lower processing time. It contains coarse segmentation and fine segmentation. Standard retinal images databas!
es Diaretdb0 and Diaretdb1 are used to test the validation of our segmentation technique. Experimental results indicate our approach is effective and can get higher segmentation accuracy.
Keywords: Medical imaging, Diabetic retinopathy, Retinal image, Background Segmentation, Noise Segmentation
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