Abstract
Accurate diagnosis of various retinal diseases requires high quality fundus images and exact fovea centre for pathological analysis. In this paper, a suitable preprocessing technique to enhance the fundus images and an accurate method for fovea centre detection are proposed. Luminosity component is enhanced by combining gamma correction, discrete shearlet transform and singular value decomposition. Local contrast is improved by applying CLAHE and a suitable weighting function is applied to alleviate over-enhancement. Region of interest for fovea localization is determined based on the optic disc position using the luminosity channel of the enhanced fundus image. This method is also suitable for images with abnormal structures around macula as the actual macula is identified from the multiple macula candidates based on optic disc position as well as the segmented blood vessels. Using appropriate color channels, thresholding and morphological operations, the macula is binary segmented and the fovea centre is marked. The proposed enhancement technique yields better results based on visual assessment as well as various quantitative parameters. The proposed method achieves the success rate of 99.4%, 100%, 98.9%, 99.2% and 100% for the proprietary, DRIVE, MESSIDOR, DIARETDB0 and DIARETDB1 databases, respectively.
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The authors wish to express their gratitude to Dr. Amjad Salman, Joseph Eye Hospital, Trichy, India for providing the required data.
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Palanisamy, G., Ponnusamy, P. & Gopi, V.P. An adaptive enhancement and fovea detection technique for color fundus image analysis. SIViP 17, 831–838 (2023). https://doi.org/10.1007/s11760-022-02295-z
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DOI: https://doi.org/10.1007/s11760-022-02295-z