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A Novel Automated Retinal Image Fusion using Adaptive Exploratory Algorithm and Mutual-Pixel-Count Maximization

Hua Cao, Nathan Brener, Hilary Thompson, S. S. Iyengar, Zhengmao Ye
2008 Proceedings of the ... Annual Southeastern Symposium on System Theory  

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A novel automated approach of the multi-Area-based and feature-based approaches are widely modality retinal image registration and fusion has been employed for medical image registration and fusion. developed. The new algorithm, which is reliable, robust, Mutual Information (MI) is the traditional fusion accuracy and time-efficient, has an automatic adaptation from measurement in the area-based technique [1] . This study frame to frame with few tunable threshold parameters. borrowed Mutual
more » ... mation idea and simplified it to The registration is based on retinal vasculature extraction Mutual-Pixel-Count (MPC). MPC measures the overlap using Canny Edge Detector, and control point
doi:10.1109/ssst.2008.4480203 fatcat:3wyucxquezdypa4qoklsys2koi
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Hua Cao, Nathan Brener, Hilary Thompson, S. S. Iyengar, Zhengmao Ye. "A Novel Automated Retinal Image Fusion using Adaptive Exploratory Algorithm and Mutual-Pixel-Count Maximization." Proceedings of the ... Annual Southeastern Symposium on System Theory (2008)