Improvement of Retinal Images Affected by Cataracts
Eye fundus images are used in clinical diagnosis for the detection and assessment of retinal disorders. When retinal images are degraded by scattering due to opacities of the eye tissues, the precise detection of abnormalities is complicated depending on the grading of the opacity. This paper presen...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-04-01
|
| Series: | Photonics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-6732/9/4/251 |
| _version_ | 1827627123005718528 |
|---|---|
| author | Enrique Gonzalez-Amador Justo Arines Pablo Charlón Nery Garcia-Porta Maximino J. Abraldes Eva Acosta |
| author_facet | Enrique Gonzalez-Amador Justo Arines Pablo Charlón Nery Garcia-Porta Maximino J. Abraldes Eva Acosta |
| author_sort | Enrique Gonzalez-Amador |
| collection | DOAJ |
| description | Eye fundus images are used in clinical diagnosis for the detection and assessment of retinal disorders. When retinal images are degraded by scattering due to opacities of the eye tissues, the precise detection of abnormalities is complicated depending on the grading of the opacity. This paper presents a concept proof study on the use of the contrast limited adaptive histogram equalization (CLAHE) technique for better visualization of eye fundus images for different levels of blurring due to different stages of cataracts. Processing is performed in three different color spaces: RGB, CIELAB and HSV, with the aim of finding which one better enhances the missed diagnostic features due to blur. The experimental results show that some fundus features not observable by naked eye can be detected in some of the space color processed with the proposed method. In this work, we also develop and provide an online image process, which allows clinicians to tune the default parameters of the algorithm for a better visualization of the characteristics of fundus images. It also allows the choice of a region of interest (ROI) within the images that provide better visualization of some features than those enhanced by the processing of the full picture. |
| first_indexed | 2024-03-09T13:07:59Z |
| format | Article |
| id | doaj.art-c521ac8f0bc6456492f892171bff7710 |
| institution | Directory Open Access Journal |
| issn | 2304-6732 |
| language | English |
| last_indexed | 2024-03-09T13:07:59Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj.art-c521ac8f0bc6456492f892171bff77102023-11-30T21:45:50ZengMDPI AGPhotonics2304-67322022-04-019425110.3390/photonics9040251Improvement of Retinal Images Affected by CataractsEnrique Gonzalez-Amador0Justo Arines1Pablo Charlón2Nery Garcia-Porta3Maximino J. Abraldes4Eva Acosta5Optics Laboratory, Universidad Politécnica de Tulancingo, Calle Ingenierías 100, Tulancingo 43629, MexicoDepartamento de Física Aplicada, Facultad de Óptica y Optometría, Campus Vida, Universidad de Santiago de Compostela, 15782 Santiago de Compostela, SpainInstituto Oftalmológico Victoria de Rojas, 15009 A Coruña, SpainDepartamento de Física Aplicada, Facultad de Óptica y Optometría, Campus Vida, Universidad de Santiago de Compostela, 15782 Santiago de Compostela, SpainService of Ophthalmology, Complejo Hospitalario Universitario de Santiago de Compostela, 15706 Santiago de Compostela, SpainDepartamento de Física Aplicada, Facultad de Física, Campus Vida, Universidad de Santiago de Compostela, 15782 Santiago de Compostela, SpainEye fundus images are used in clinical diagnosis for the detection and assessment of retinal disorders. When retinal images are degraded by scattering due to opacities of the eye tissues, the precise detection of abnormalities is complicated depending on the grading of the opacity. This paper presents a concept proof study on the use of the contrast limited adaptive histogram equalization (CLAHE) technique for better visualization of eye fundus images for different levels of blurring due to different stages of cataracts. Processing is performed in three different color spaces: RGB, CIELAB and HSV, with the aim of finding which one better enhances the missed diagnostic features due to blur. The experimental results show that some fundus features not observable by naked eye can be detected in some of the space color processed with the proposed method. In this work, we also develop and provide an online image process, which allows clinicians to tune the default parameters of the algorithm for a better visualization of the characteristics of fundus images. It also allows the choice of a region of interest (ROI) within the images that provide better visualization of some features than those enhanced by the processing of the full picture.https://www.mdpi.com/2304-6732/9/4/251retinal imageseye opacitiescataractsCLAHERGBCIELAB |
| spellingShingle | Enrique Gonzalez-Amador Justo Arines Pablo Charlón Nery Garcia-Porta Maximino J. Abraldes Eva Acosta Improvement of Retinal Images Affected by Cataracts Photonics retinal images eye opacities cataracts CLAHE RGB CIELAB |
| title | Improvement of Retinal Images Affected by Cataracts |
| title_full | Improvement of Retinal Images Affected by Cataracts |
| title_fullStr | Improvement of Retinal Images Affected by Cataracts |
| title_full_unstemmed | Improvement of Retinal Images Affected by Cataracts |
| title_short | Improvement of Retinal Images Affected by Cataracts |
| title_sort | improvement of retinal images affected by cataracts |
| topic | retinal images eye opacities cataracts CLAHE RGB CIELAB |
| url | https://www.mdpi.com/2304-6732/9/4/251 |
| work_keys_str_mv | AT enriquegonzalezamador improvementofretinalimagesaffectedbycataracts AT justoarines improvementofretinalimagesaffectedbycataracts AT pablocharlon improvementofretinalimagesaffectedbycataracts AT nerygarciaporta improvementofretinalimagesaffectedbycataracts AT maximinojabraldes improvementofretinalimagesaffectedbycataracts AT evaacosta improvementofretinalimagesaffectedbycataracts |