Abstract
Image enhancement and segmentation are predominating methods in image processing and are widely used in ophthalmology for the diagnosis of various eye diseases such as diabetic retinopathy, glaucoma. Especially, retinal image segmentation is vastly required to extract certain features that can facilitate in diagnosis and treatment of eye. Due to the acquisition process, color retinal images can suffer from poor contrast, thus enhancement is essential in ophthalmology. In this work, a novel fuzzy color image enhancement and segmentation technique has been suggested to overcome the problem of low and variation of contrast, and segment in retinal images. This paper provides a special fuzzy computation on retinal image such as fuzzy measure which is used for enhancement and fuzzy integral is applied for segmentation. The proposed algorithm can accomplish excellent contrast and a segment of an image object that endows feasibility in diagnosis from retinal image.
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Ghosh, S.K., Biswas, B., Ghosh, A. (2020). A Novel Enhancement and Segmentation of Color Retinal Image Based on Fuzzy Measure and Fuzzy Integral. In: Das, A., Nayak, J., Naik, B., Pati, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing, vol 999. Springer, Singapore. https://doi.org/10.1007/978-981-13-9042-5_2
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DOI: https://doi.org/10.1007/978-981-13-9042-5_2
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