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- W4285362324 abstract "The hybrid image registration method is proposed to align two images based on the features or corresponding intensity information present in the images. The motivation behind the proposed work is that there is no one method or algorithm available that is suitable for any kind of images. SURF feature-based algorithm is used to extract, match, and describe the features present in the image. <tex>$1+1$</tex> evolutionary and regular step gradient descent algorithm is used for intensity information present in the images. The performance parameter to evaluate registration accuracy used in the proposed work are SSIM, MSE, PSNR, IQI, PCC and SSD which shows improvement in prior and post registration results." @default.
- W4285362324 created "2022-07-14" @default.
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- W4285362324 date "2021-09-23" @default.
- W4285362324 modified "2023-10-16" @default.
- W4285362324 title "A Feature Cum Intensity Based SSIM Optimised Hybrid Image Registration Technique" @default.
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- W4285362324 doi "https://doi.org/10.1109/ccge50943.2021.9776407" @default.
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