Optic Disc Localization Based on Feature Sorting
Localization of the optic disc (OD) is a necessary step in automatic diagnosis of ocular diseases in retinal images: diabetic retinopathy, glaucoma and so on. In this paper, we combine different features and classification schemes to increase the performance of OD detection and localization. To this...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Publishing House of the Romanian Academy
2016-09-01
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| Series: | Memoirs of the Scientific Sections of the Romanian Academy |
| Subjects: | |
| Online Access: | http://mss.academiaromana-is.ro/mem_sc_st_2016/6_Ichim.pdf |
| _version_ | 1811281565058072576 |
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| author | Loretta Ichim Dan Popescu |
| author_facet | Loretta Ichim Dan Popescu |
| author_sort | Loretta Ichim |
| collection | DOAJ |
| description | Localization of the optic disc (OD) is a necessary step in automatic diagnosis of ocular diseases in retinal images: diabetic retinopathy, glaucoma and so on. In this paper, we combine different features and classification schemes to increase the performance of OD detection and localization. To this end, we propose a simple image processing algorithm based on adaptive local texture analysis considering different features, such as those extracted from the co-occurrence matrix, the fractal dimension and blood density. The selection of features is made in the learning phase, taking into account their relevance and non-redundancy. Retina images are decomposed in patches using the sliding box method. The presence of regions with different intensities and noise requires preprocessing operations. For OD recognition, a method which combines a voting scheme with a sorting procedure is applied. In the experiments, 100 images from the publicly available STARE dataset were used. |
| first_indexed | 2024-04-13T01:35:53Z |
| format | Article |
| id | doaj.art-ec85c70f13e84382aeb89cdea298244f |
| institution | Directory Open Access Journal |
| issn | 1224-1407 2343-7049 |
| language | English |
| last_indexed | 2024-04-13T01:35:53Z |
| publishDate | 2016-09-01 |
| publisher | Publishing House of the Romanian Academy |
| record_format | Article |
| series | Memoirs of the Scientific Sections of the Romanian Academy |
| spelling | doaj.art-ec85c70f13e84382aeb89cdea298244f2022-12-22T03:08:24ZengPublishing House of the Romanian AcademyMemoirs of the Scientific Sections of the Romanian Academy1224-14072343-70492016-09-01XXXIX6470Optic Disc Localization Based on Feature SortingLoretta Ichim0Dan Popescu1University Politehnica of Bucharest, Bucharest, Romania; “Ştefan S. Nicolau” Institute of Virology, Bucharest, RomaniaUniversity Politehnica of Bucharest, Bucharest, RomaniaLocalization of the optic disc (OD) is a necessary step in automatic diagnosis of ocular diseases in retinal images: diabetic retinopathy, glaucoma and so on. In this paper, we combine different features and classification schemes to increase the performance of OD detection and localization. To this end, we propose a simple image processing algorithm based on adaptive local texture analysis considering different features, such as those extracted from the co-occurrence matrix, the fractal dimension and blood density. The selection of features is made in the learning phase, taking into account their relevance and non-redundancy. Retina images are decomposed in patches using the sliding box method. The presence of regions with different intensities and noise requires preprocessing operations. For OD recognition, a method which combines a voting scheme with a sorting procedure is applied. In the experiments, 100 images from the publicly available STARE dataset were used.http://mss.academiaromana-is.ro/mem_sc_st_2016/6_Ichim.pdflocal image processingtexture analysisfeature selectionsliding box methodoptic disc localization |
| spellingShingle | Loretta Ichim Dan Popescu Optic Disc Localization Based on Feature Sorting Memoirs of the Scientific Sections of the Romanian Academy local image processing texture analysis feature selection sliding box method optic disc localization |
| title | Optic Disc Localization Based on Feature Sorting |
| title_full | Optic Disc Localization Based on Feature Sorting |
| title_fullStr | Optic Disc Localization Based on Feature Sorting |
| title_full_unstemmed | Optic Disc Localization Based on Feature Sorting |
| title_short | Optic Disc Localization Based on Feature Sorting |
| title_sort | optic disc localization based on feature sorting |
| topic | local image processing texture analysis feature selection sliding box method optic disc localization |
| url | http://mss.academiaromana-is.ro/mem_sc_st_2016/6_Ichim.pdf |
| work_keys_str_mv | AT lorettaichim opticdisclocalizationbasedonfeaturesorting AT danpopescu opticdisclocalizationbasedonfeaturesorting |