ValueError:应用cross_correlation_shifts时解包(预期2)的值太多

Question

我对计算机视觉非常陌生，我想学习图像配准。我想应用cross_correlation_shifts，但是我一直收到一个错误。我在jupyter笔记本中编写的代码如下：

from skimage import io
import image_registration
from image_registration import cross_correlation_shifts
image = io.imread("Images/Mug.jpg")
offset_image = io.imread("Images/rotated_Mug.jpg")
xoff, yoff = image_registration.cross_correlation_shifts(image, offset_image)
print("Offset image ")
print("Pixels shifted by: ", xoff, yoff)

运行与cross_correlation_shifts相关的代码，我得到以下错误：

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-46-0d64c5cb8855> in <module>
----> 1 xoff, yoff = image_registration.cross_correlation_shifts(image, offset_image)
      2 
      3 print("Offset image ")
      4 print("Pixels shifted by: ", xoff, yoff)

/opt/anaconda3/lib/python3.7/site-packages/image_registration/cross_correlation_shifts.py in cross_correlation_shifts(image1, image2, errim1, errim2, maxoff, verbose, gaussfit, return_error, zeromean, **kwargs)
     87         raise ValueError("Cross-correlation image must have same shape as input images.  This can only be violated if you pass a strange kwarg to correlate2d.")
     88 
---> 89     ylen,xlen = image1.shape
     90     xcen = xlen/2-(1-xlen%2)
     91     ycen = ylen/2-(1-ylen%2)

ValueError: too many values to unpack (expected 2)

我所用的图像都是同一个杯子。第一个Mug.jpg是一个正常的直线图像，旋转的一个是同一个Mug的图像，但它是向右倾斜的。

有人能告诉我这里有什么问题吗？

Answer 1

您的图像看起来是2D RGB，因此Image1.form是(例如) (512,512，3)，即ylen，xlen，num_channels。您需要以某种方式将它们转换为灰度，例如使用skimage.color.rgb2gray (但是要小心，因为这会使您的图像在0，1中浮动)。