python - python: skimage.transform.AffineTransform rotation center

Answer 1

这目前可以通过组合以下转换来实现：

1. 移动图像，使中心围绕原点
2. 旋转 N 度
3. 将图像向后移动

但是，单个参数会使这更容易！您能否在 GitHub 上提出问题，以便我们实施？

与此同时，代码：

from skimage import data
from skimage import transform
import numpy as np
import matplotlib.pyplot as plt

image = data.chelsea()

shift_y, shift_x = np.array(image.shape[:2]) / 2.
tf_rotate = transform.SimilarityTransform(rotation=np.deg2rad(30))
tf_shift = transform.SimilarityTransform(translation=[-shift_x, -shift_y])
tf_shift_inv = transform.SimilarityTransform(translation=[shift_x, shift_y])

image_rotated = transform.warp(image, (tf_shift + (tf_rotate + tf_shift_inv)).inverse)

plt.imshow(image_rotated)
plt.show()

Answer 2

Stefan 答案中的图像中心似乎不正确，这是他的代码的更正版本

from skimage import transform
import numpy as np
import matplotlib.pyplot as plt

image = np.zeros([21, 21])
image[10,:] = 1
image[10,10] = 5
image[7, 10] = 1

shift_y, shift_x = (np.array(image.shape)-1) / 2.
tf_rotate = transform.SimilarityTransform(rotation=np.deg2rad(60))
tf_shift = transform.SimilarityTransform(translation=[-shift_x, -shift_y])
tf_shift_inv = transform.SimilarityTransform(translation=[shift_x, shift_y])
image_rotated = transform.warp(image, (tf_shift + (tf_rotate + tf_shift_inv)).inverse, order = 3)


plt.subplot(121)
plt.imshow(image)
plt.subplot(122)
plt.imshow(image_rotated)
plt.show()

print "original image maximum at: ", np.unravel_index(np.argmax(image), image.shape)
print "rotated image maximum at : ", np.unravel_index(np.argmax(image_rotated), image_rotated.shape)

原始图像最大值：(10, 10) 旋转图像最大值：(10, 10)