A computational framework for tracking grain boundaries in 3D image data: Quantifying boundary curvatures and velocities in polycrystalline materials

· · 来源:user资讯

// Define the side effect, but don't run it yet

Along with access to all your scripts and programs, you also have

麦当劳中国市场加速冲刺万店,推荐阅读快连下载安装获取更多信息

This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.

Нина Ташевская (Редактор отдела «Среда обитания»)

AI 自动编程