A Novel Clip Limit Estimation Technique for Blood Vessel Segmentation and OD/OS Classification Technique for Retina Images
Abstract The evolution of digital health care system in medical imaging has become a contemporary area. Human eye contain numerous nerves and sensitive tissues in it which are highly prone to eye diseases like hemorrhage, exudates, micro aneurysms etc. These eye diseases may affect blood vessels of...
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| Format: | Article |
| Language: | English |
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Instituto de Tecnologia do Paraná (Tecpar)
2023-11-01
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| Series: | Brazilian Archives of Biology and Technology |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132023000100328&lng=en&tlng=en |
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| author | Vijaya Maheswari MuthuKumara Samy Murugeswari Ganesan Aravind Kumar Karunakaran Muthulakshmi Murugaiah Jency Rajakumari Jeyabose Thanaraj |
| author_facet | Vijaya Maheswari MuthuKumara Samy Murugeswari Ganesan Aravind Kumar Karunakaran Muthulakshmi Murugaiah Jency Rajakumari Jeyabose Thanaraj |
| author_sort | Vijaya Maheswari MuthuKumara Samy |
| collection | DOAJ |
| description | Abstract The evolution of digital health care system in medical imaging has become a contemporary area. Human eye contain numerous nerves and sensitive tissues in it which are highly prone to eye diseases like hemorrhage, exudates, micro aneurysms etc. These eye diseases may affect blood vessels of retina to a greater extent. There are different research contributions made in this research work. They are (i) Identification of OD/OS (Right eye / Left eye) using DWT. (ii) A clip limit estimation technique which identifies the suitable clip limit value for enhancement. (iii) A framework for blood vessel extraction using estimated clip limit value and thresholding technique. Using DWT the localization of optic disc is done. The clip limit estimation technique involves various analysis to estimate the suitable clip limit for enhancement namely qualitative analysis, quantitative analysis, intensity distribution analysis and statistical analysis. A framework is proposed for retina blood vessel segmentation using clip limit estimation technique. The performance of the proposed methods are measured in terms of classification accuracy, sensitivity, specificity. The framework is tested on different datasets which produced an accuracy of 96.87% on DRIVE dataset, 96.89% on HRF dataset, 97.34% on STARE dataset, and 97.52% on DIARETDB1 dataset respectively. |
| first_indexed | 2024-03-11T10:44:07Z |
| format | Article |
| id | doaj.art-7a5a952887a14b89b149536d88c03113 |
| institution | Directory Open Access Journal |
| issn | 1678-4324 |
| language | English |
| last_indexed | 2024-03-11T10:44:07Z |
| publishDate | 2023-11-01 |
| publisher | Instituto de Tecnologia do Paraná (Tecpar) |
| record_format | Article |
| series | Brazilian Archives of Biology and Technology |
| spelling | doaj.art-7a5a952887a14b89b149536d88c031132023-11-14T07:50:59ZengInstituto de Tecnologia do Paraná (Tecpar)Brazilian Archives of Biology and Technology1678-43242023-11-016610.1590/1678-4324-2023220817A Novel Clip Limit Estimation Technique for Blood Vessel Segmentation and OD/OS Classification Technique for Retina ImagesVijaya Maheswari MuthuKumara Samyhttps://orcid.org/0000-0002-8556-5996Murugeswari Ganesanhttps://orcid.org/0000-0002-7356-518XAravind Kumar Karunakaranhttps://orcid.org/0000-0003-4966-4679Muthulakshmi Murugaiahhttps://orcid.org/0000-0003-1833-5311Jency Rajakumari Jeyabose Thanarajhttps://orcid.org/0000-0003-1292-9872Abstract The evolution of digital health care system in medical imaging has become a contemporary area. Human eye contain numerous nerves and sensitive tissues in it which are highly prone to eye diseases like hemorrhage, exudates, micro aneurysms etc. These eye diseases may affect blood vessels of retina to a greater extent. There are different research contributions made in this research work. They are (i) Identification of OD/OS (Right eye / Left eye) using DWT. (ii) A clip limit estimation technique which identifies the suitable clip limit value for enhancement. (iii) A framework for blood vessel extraction using estimated clip limit value and thresholding technique. Using DWT the localization of optic disc is done. The clip limit estimation technique involves various analysis to estimate the suitable clip limit for enhancement namely qualitative analysis, quantitative analysis, intensity distribution analysis and statistical analysis. A framework is proposed for retina blood vessel segmentation using clip limit estimation technique. The performance of the proposed methods are measured in terms of classification accuracy, sensitivity, specificity. The framework is tested on different datasets which produced an accuracy of 96.87% on DRIVE dataset, 96.89% on HRF dataset, 97.34% on STARE dataset, and 97.52% on DIARETDB1 dataset respectively.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132023000100328&lng=en&tlng=enOculus Sinister (OS)Oculus Dexter (OD)Clip LimitClipping ProcessBlood vesselsRetina |
| spellingShingle | Vijaya Maheswari MuthuKumara Samy Murugeswari Ganesan Aravind Kumar Karunakaran Muthulakshmi Murugaiah Jency Rajakumari Jeyabose Thanaraj A Novel Clip Limit Estimation Technique for Blood Vessel Segmentation and OD/OS Classification Technique for Retina Images Brazilian Archives of Biology and Technology Oculus Sinister (OS) Oculus Dexter (OD) Clip Limit Clipping Process Blood vessels Retina |
| title | A Novel Clip Limit Estimation Technique for Blood Vessel Segmentation and OD/OS Classification Technique for Retina Images |
| title_full | A Novel Clip Limit Estimation Technique for Blood Vessel Segmentation and OD/OS Classification Technique for Retina Images |
| title_fullStr | A Novel Clip Limit Estimation Technique for Blood Vessel Segmentation and OD/OS Classification Technique for Retina Images |
| title_full_unstemmed | A Novel Clip Limit Estimation Technique for Blood Vessel Segmentation and OD/OS Classification Technique for Retina Images |
| title_short | A Novel Clip Limit Estimation Technique for Blood Vessel Segmentation and OD/OS Classification Technique for Retina Images |
| title_sort | novel clip limit estimation technique for blood vessel segmentation and od os classification technique for retina images |
| topic | Oculus Sinister (OS) Oculus Dexter (OD) Clip Limit Clipping Process Blood vessels Retina |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132023000100328&lng=en&tlng=en |
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