Classification of retinal images based on statistical moments and principal component analysis
Early diagnosis of Diabetic Retinopathy (DR) has been suggested as a good measure of preventing blindness associated with Diabetes. Some of the reported methodologies of Retinal Images (RI) classification for early diagnosis of DR have been shown to involve several steps and approaches for effective...
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| Format: | Proceeding Paper |
| Language: | English English |
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IEEE
2014
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| Online Access: | http://irep.iium.edu.my/42180/ http://irep.iium.edu.my/42180/1/42180_edited.pdf http://irep.iium.edu.my/42180/4/42180_Classification%20of%20retinal%20images%20based%20on%20statistical_Scopus.pdf |
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| author | Salami, Momoh Jimoh Emiyoka Khorshidtalab, A. Baali, Hamza Aibinu, Abiodun Musa |
| author_facet | Salami, Momoh Jimoh Emiyoka Khorshidtalab, A. Baali, Hamza Aibinu, Abiodun Musa |
| author_sort | Salami, Momoh Jimoh Emiyoka |
| building | IIUM Repository |
| collection | Online Access |
| description | Early diagnosis of Diabetic Retinopathy (DR) has been suggested as a good measure of preventing blindness associated with Diabetes. Some of the reported methodologies of Retinal Images (RI) classification for early diagnosis of DR have been shown to involve several steps and approaches for effective and accurate diagnosis. Thus, this paper investigates the classification of RI using a two-stage procedure. The first stage includes the extraction of blood vessels from RI belonging to healthy and diabetes retinal images using a modified local entropy thresholding algorithm. In the second stage, different features are extracted including statistical moments and principal components. The set of extracted features is combined into one feature vector and fed into a Sequential Minimal Optimization (SMO) classifier. The obtained result is encouraging with an average accuracy of 68.33 %. |
| first_indexed | 2025-11-14T16:02:11Z |
| format | Proceeding Paper |
| id | iium-42180 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:02:11Z |
| publishDate | 2014 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-421802017-09-20T12:28:23Z http://irep.iium.edu.my/42180/ Classification of retinal images based on statistical moments and principal component analysis Salami, Momoh Jimoh Emiyoka Khorshidtalab, A. Baali, Hamza Aibinu, Abiodun Musa Q Science (General) Early diagnosis of Diabetic Retinopathy (DR) has been suggested as a good measure of preventing blindness associated with Diabetes. Some of the reported methodologies of Retinal Images (RI) classification for early diagnosis of DR have been shown to involve several steps and approaches for effective and accurate diagnosis. Thus, this paper investigates the classification of RI using a two-stage procedure. The first stage includes the extraction of blood vessels from RI belonging to healthy and diabetes retinal images using a modified local entropy thresholding algorithm. In the second stage, different features are extracted including statistical moments and principal components. The set of extracted features is combined into one feature vector and fed into a Sequential Minimal Optimization (SMO) classifier. The obtained result is encouraging with an average accuracy of 68.33 %. IEEE 2014 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/42180/1/42180_edited.pdf application/pdf en http://irep.iium.edu.my/42180/4/42180_Classification%20of%20retinal%20images%20based%20on%20statistical_Scopus.pdf Salami, Momoh Jimoh Emiyoka and Khorshidtalab, A. and Baali, Hamza and Aibinu, Abiodun Musa (2014) Classification of retinal images based on statistical moments and principal component analysis. In: 5th International Conference on Computer and Communication Engineering (ICCCE 2014), 23th - 25th September 2014, Sunway Putra Hotel, Kuala Lumpur. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7031608 10.1109/ICCCE.2014.37 |
| spellingShingle | Q Science (General) Salami, Momoh Jimoh Emiyoka Khorshidtalab, A. Baali, Hamza Aibinu, Abiodun Musa Classification of retinal images based on statistical moments and principal component analysis |
| title | Classification of retinal images based on statistical moments and principal component analysis |
| title_full | Classification of retinal images based on statistical moments and principal component analysis |
| title_fullStr | Classification of retinal images based on statistical moments and principal component analysis |
| title_full_unstemmed | Classification of retinal images based on statistical moments and principal component analysis |
| title_short | Classification of retinal images based on statistical moments and principal component analysis |
| title_sort | classification of retinal images based on statistical moments and principal component analysis |
| topic | Q Science (General) |
| url | http://irep.iium.edu.my/42180/ http://irep.iium.edu.my/42180/ http://irep.iium.edu.my/42180/ http://irep.iium.edu.my/42180/1/42180_edited.pdf http://irep.iium.edu.my/42180/4/42180_Classification%20of%20retinal%20images%20based%20on%20statistical_Scopus.pdf |