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        如何使用 scipy.ndimage.interpolation.affine_transform 围绕其中心旋转图像?

        How can I use scipy.ndimage.interpolation.affine_transform to rotate an image about its centre?(如何使用 scipy.ndimage.interpolation.affine_transform 围绕其中心旋转图像?)
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                  本文介绍了如何使用 scipy.ndimage.interpolation.affine_transform 围绕其中心旋转图像?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

                  问题描述

                  我对 <代码>scipy.ndimage.interpolation.affine_transform.从 this issue 来看,我不是唯一一个.我实际上想用 affine_transform 做更多有趣的事情,而不仅仅是旋转图像,但对于初学者来说,旋转就可以了.(是的,我很清楚 scipy.ndimage.interpolation.rotate,但弄清楚如何驱动 affine_transform 是我感兴趣的地方).

                  I am perplexed by the API to scipy.ndimage.interpolation.affine_transform. And judging by this issue I'm not the only one. I'm actually wanting to do more interesting things with affine_transform than just rotating an image, but a rotation would do for starters. (And yes I'm well aware of scipy.ndimage.interpolation.rotate, but figuring out how to drive affine_transform is what interests me here).

                  当我想在像 OpenGL 这样的系统中做这种事情时,我会考虑计算变换,它应用关于中心 cRcode>,因此考虑点 p 被转换 (pc)R+c = pR+c-cR,这给出了一个 c-cR 术语用作变换的翻译组件.然而,根据上面的问题,scipy 的 affine_transformoffset first"所以我们实际上需要计算一个偏移量s 使得 (pc)R+c=(p+s)R 有一点重新排列给出 s=(c-cR)R' 其中 R'R 的倒数.

                  When I want to do this sort of thing in systems like OpenGL, I'm think in terms of computing the transform which applies a 2x2 rotation matrix R about a centre c, and therefore thinking of points p being transformed (p-c)R+c = pR+c-cR, which gives a c-cR term to be used as the translation component of a transform. However, according to the issue above, scipy's affine_transform does "offset first" so we actually need to compute an offset s such that (p-c)R+c=(p+s)R which with a bit of rearrangement gives s=(c-cR)R' where R' is the inverse of R.

                  如果我将它插入 ipython 笔记本(pylab 模式;下面的代码可能需要一些额外的导入):

                  If I plug this into an ipython notebook (pylab mode; code below maybe needs some additional imports):

                  img=scipy.misc.lena()
                  #imshow(img,cmap=cm.gray);show()
                  centre=0.5*array(img.shape)
                  a=15.0*pi/180.0
                  rot=array([[cos(a),sin(a)],[-sin(a),cos(a)]])
                  offset=(centre-centre.dot(rot)).dot(linalg.inv(rot))
                  rotimg=scipy.ndimage.interpolation.affine_transform(
                      img,rot,order=2,offset=offset,cval=0.0,output=float32
                  )
                  imshow(rotimg,cmap=cm.gray);show()
                  

                  我明白了

                  不幸的是,它没有围绕中心旋转.

                  which unfortunately isn't rotated about the centre.

                  那么我在这里缺少什么技巧?

                  So what's the trick I'm missing here?

                  推荐答案

                  只是做一些快速&肮脏的测试我注意到你的偏移量的负值似乎围绕中心旋转.

                  Just doing some quick & dirty testing I noticed that taking the negative value of your offset seems to rotate about the centre.

                  这篇关于如何使用 scipy.ndimage.interpolation.affine_transform 围绕其中心旋转图像?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

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