Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing
Retinal fundus image plays an important role in the diagnosis of retinal related diseases. The detailed information of the retinal fundus image such as small vessels, microaneurysms, and exudates may be in low contrast, and retinal image enhancement usually gives help to analyze diseases related to...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2016/5075612 |
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| author | Peishan Dai Hanwei Sheng Jianmei Zhang Ling Li Jing Wu Min Fan |
| author_facet | Peishan Dai Hanwei Sheng Jianmei Zhang Ling Li Jing Wu Min Fan |
| author_sort | Peishan Dai |
| collection | DOAJ |
| description | Retinal fundus image plays an important role in the diagnosis of retinal related diseases. The detailed information of the retinal fundus image such as small vessels, microaneurysms, and exudates may be in low contrast, and retinal image enhancement usually gives help to analyze diseases related to retinal fundus image. Current image enhancement methods may lead to artificial boundaries, abrupt changes in color levels, and the loss of image detail. In order to avoid these side effects, a new retinal fundus image enhancement method is proposed. First, the original retinal fundus image was processed by the normalized convolution algorithm with a domain transform to obtain an image with the basic information of the background. Then, the image with the basic information of the background was fused with the original retinal fundus image to obtain an enhanced fundus image. Lastly, the fused image was denoised by a two-stage denoising method including the fourth order PDEs and the relaxed median filter. The retinal image databases, including the DRIVE database, the STARE database, and the DIARETDB1 database, were used to evaluate image enhancement effects. The results show that the method can enhance the retinal fundus image prominently. And, different from some other fundus image enhancement methods, the proposed method can directly enhance color images. |
| format | Article |
| id | doaj-art-e400e44496c84f80abf26d9b3239f87c |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-e400e44496c84f80abf26d9b3239f87c2025-02-03T06:01:41ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962016-01-01201610.1155/2016/50756125075612Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise RemovingPeishan Dai0Hanwei Sheng1Jianmei Zhang2Ling Li3Jing Wu4Min Fan5Department of Biomedical Engineering, School of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaDepartment of Biomedical Engineering, School of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaDepartment of Biomedical Engineering, School of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaDepartment of Biomedical Engineering, School of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaDepartment of Biomedical Engineering, School of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaDepartment of Education and Law, Hunan Women’s University, Changsha 410004, ChinaRetinal fundus image plays an important role in the diagnosis of retinal related diseases. The detailed information of the retinal fundus image such as small vessels, microaneurysms, and exudates may be in low contrast, and retinal image enhancement usually gives help to analyze diseases related to retinal fundus image. Current image enhancement methods may lead to artificial boundaries, abrupt changes in color levels, and the loss of image detail. In order to avoid these side effects, a new retinal fundus image enhancement method is proposed. First, the original retinal fundus image was processed by the normalized convolution algorithm with a domain transform to obtain an image with the basic information of the background. Then, the image with the basic information of the background was fused with the original retinal fundus image to obtain an enhanced fundus image. Lastly, the fused image was denoised by a two-stage denoising method including the fourth order PDEs and the relaxed median filter. The retinal image databases, including the DRIVE database, the STARE database, and the DIARETDB1 database, were used to evaluate image enhancement effects. The results show that the method can enhance the retinal fundus image prominently. And, different from some other fundus image enhancement methods, the proposed method can directly enhance color images.http://dx.doi.org/10.1155/2016/5075612 |
| spellingShingle | Peishan Dai Hanwei Sheng Jianmei Zhang Ling Li Jing Wu Min Fan Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing International Journal of Biomedical Imaging |
| title | Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing |
| title_full | Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing |
| title_fullStr | Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing |
| title_full_unstemmed | Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing |
| title_short | Retinal Fundus Image Enhancement Using the Normalized Convolution and Noise Removing |
| title_sort | retinal fundus image enhancement using the normalized convolution and noise removing |
| url | http://dx.doi.org/10.1155/2016/5075612 |
| work_keys_str_mv | AT peishandai retinalfundusimageenhancementusingthenormalizedconvolutionandnoiseremoving AT hanweisheng retinalfundusimageenhancementusingthenormalizedconvolutionandnoiseremoving AT jianmeizhang retinalfundusimageenhancementusingthenormalizedconvolutionandnoiseremoving AT lingli retinalfundusimageenhancementusingthenormalizedconvolutionandnoiseremoving AT jingwu retinalfundusimageenhancementusingthenormalizedconvolutionandnoiseremoving AT minfan retinalfundusimageenhancementusingthenormalizedconvolutionandnoiseremoving |