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Titlebook: Communications, Signal Processing, and Systems; Proceedings of the 2 Qilian Liang,Xin Liu,Baoju Zhang Conference proceedings 2020 Springer

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Olga E. Malandraki,Norma B. Crosbymatching errors are less than 0.2 pixels. It indicates that the proposed method can automatically achieve high-accuracy lunar image matching and lay good foundation for subsequent lunar image stitching and fusion.
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Gary A. Glatzmaier,Peter A. Gilmanh FCMS and FLICM algorithms. The feasibility of the presented algorithm and the accuracy of the segmentation result are verified by evaluating the algorithm and the experimental results according to the relevant evaluation criteria.
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J. Sánchez Almeida,E. Landi Degl’Innocentied fix-point iteration method. Data from the standard color correction experiments are used to test the variable-exponent, lasso, ridge, and least-squares regression algorithms with different polynomial regression models. The results demonstrate that the proposed algorithm has the best performance.
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Application of Improved FCM Algorithm in Brain Image Segmentationh FCMS and FLICM algorithms. The feasibility of the presented algorithm and the accuracy of the segmentation result are verified by evaluating the algorithm and the experimental results according to the relevant evaluation criteria.
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Improved Video Reconstruction Basing on Single-Pixel Camera By Dual-Fiber Collectingto acquire optical flow, and then we reconstruct a better-quality video by using the optical flow as a restrictive condition. We built an actual single-pixel camera hardware platform based on dual-fiber acquisition, and we show that our high-quality video can be restored by collecting data from our single-pixel camera.
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