Abstract
Retinal image registration has significant role in various medical applications such as diabetic retinopathy, glaucoma, and many other retinal diagnosis applications. Contrast enhancement plays vital role in disease identification. In this paper, we proposed an enhancement method for intensity-based retinal image registration. In our approach, simulated images are blurred images using gaussian filter. Scale value for transformation is optimized using cuckoo search algorithm. The resultant enhanced images show better values in terms of PSNR (peak signal-to-noise ratio) and RMSE (root mean square error) which ultimately results in quality retinal image registration.
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Ebenezer Daniel, Anitha, J. (2016). Cuckoo Search-Based Scale Value Optimization for Enhancement in Retinal Image Registration. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-10-0448-3_37
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DOI: https://doi.org/10.1007/978-981-10-0448-3_37
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