Irrigate 发表于 2025-3-25 07:18:48
http://reply.papertrans.cn/24/2341/234087/234087_21.png我的巨大 发表于 2025-3-25 09:05:37
Astronomy and Astrophysics Libraryon and graphical representation of the power spectrum and analyse how it influenced by the motion blur. Finally, we design a novel tool in a view of the vector field of the power spectrum for image and video sequences analysis.BUST 发表于 2025-3-25 11:57:12
The Design and Engineering of Curiosityning. The algorithm builds the path of the robot and map of the environment. The path of robot is already noisy. To overcome a noise influence, we add encoders, which describe the passable way of the robot.MINT 发表于 2025-3-25 19:20:27
http://reply.papertrans.cn/24/2341/234087/234087_24.png美色花钱 发表于 2025-3-25 23:31:33
The Object-Oriented Simultaneous Localization and Mapping on the Spherobot Platform,ning. The algorithm builds the path of the robot and map of the environment. The path of robot is already noisy. To overcome a noise influence, we add encoders, which describe the passable way of the robot.预防注射 发表于 2025-3-26 03:09:09
Design Methods and Project Management,ubdue big output signal values are presented. Theoretical distributions of stable estimations are obtained. By means of statistical modeling, a coincidence between experimental and theoretical characteristics is established. The suggested algorithms are easy to calculate.耕种 发表于 2025-3-26 06:07:38
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https://doi.org/10.1007/978-3-031-38168-3move the noise from scanned documents. This chapter discusses a possibility of using Local Binary Patterns (LBP) operator to make changes into the operation of Non-Local Means (NLM) noise reduction algorithm. As a result, it was possible to improve a quality of scanned images after their processing by the proposed modified algorithm.Inflated 发表于 2025-3-26 14:37:49
http://reply.papertrans.cn/24/2341/234087/234087_29.png向外 发表于 2025-3-26 16:49:31
Comparative Evaluation of Algorithms for Trajectory Filtering, allows to take into account the nature of the motion of the tracked object more fully. At the same time, it combines the simplicity of linear filtering with a separate estimation for each coordinate. Thus, it is more preferred for practical application.