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- W2896789624 abstract "Most retinal images suffers from large size with inadequate contrast and brightness. Automated field of view (FOV) extraction and image enhancement significantly increases the performance of image analysis for diabetic retinopathy (DR) detection. This paper presents a simple and automated FOV extraction technique using only one horizontal and vertical scan lines. The FOV image further enhanced using the guided filter with variable enhancement factor. The proposed method has been applied on five publicly available databases. The accuracy of FOV extraction is obtained 100% for Diaretdb0 and ONHSD databases, 99.91% for messidor, 99.32% for E-optha and 98.87% for Diaretdb1 database. The experimental results shows that, proposed method gives the good enhancement on five different databases compared with the existing state-of-the-art methods. Overall, the proposed method can be used as a effective preprocessing tool for accurate detection of lesions in retinal image analysis." @default.
- W2896789624 created "2018-10-26" @default.
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- W2896789624 date "2017-12-01" @default.
- W2896789624 modified "2023-09-27" @default.
- W2896789624 title "Automatic Field of View Extraction with Variable Enhancement of Color Fundus Images" @default.
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- W2896789624 doi "https://doi.org/10.1109/indicon.2017.8488067" @default.
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