旋转 numpy 二维数组
问题描述
我有一组灰度图像作为 2D numpy 数组.
I have a set of greyscale images as a 2D numpy arrays.
我需要围绕一个不同的浮动角度(在它们内部)旋转图像.旋转不需要到位，我将允许(当然，如果到目前为止我解释得很好)进行插值.
I need to rotate the images about one point (inside them) of different, float angles. The rotation doesn't need to be in place, and I will allow (of course, if I explained well so far) for interpolation.
我想留在 numpy 中，因为我需要对结果执行数值运算，但我也可以(如果不可能)允许步入/退出；例如，我尝试使用 PIL，即 Image.rotate(theta)，但不明白如何将其应用于我的数组，以及如何取回数组.
I'd like to remain in numpy, as I need to perform numerical operations on the result, but I can also (if that's impossible) allow for step in/out; for example I tried using PIL, namely Image.rotate(theta) but don't understand how to apply that to my arrays, and how to get an array back.
感谢您的意见.
解决方案
参见 cgohlke 2011-11-10 18:34 的评论:
See the comment of cgohlke Nov 10 '11 at 18:34:
考虑 scipy.ndimage.interpolation.shift() 和 rotate() 用于 2D numpy 数组的插值平移和旋转.
Consider scipy.ndimage.interpolation.shift() and rotate() for interpolated translations and rotations of 2D numpy arrays.
相关文章