ValueError: too many values to unpack (expected 2) while applying cross_correlation_shifts

Question

我对计算机视觉还很陌生，想了解图像配准。我想应用 cross_correlation_shifts 但我一直收到错误消息。我在jupyter notebook中写的代码如下：

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，我得到这个错误：

---------------------------------------------------------------------------
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)

我使用的图像是同一个杯子。第一个 Mug.jpg 是正常的直图像，旋转的图像是同一个 Mug 的图像，但它向右倾斜。

谁能告诉我这里有什么问题吗？

Answer 1

您的图像显示为 2D RGB，因此 image1.shape 是（比方说）(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（但请注意，这会将您的图像重新缩放为 [0, 1] 中的浮点数）。

ValueError: too many values to unpack (expected 2) while applying cross_correlation_shifts

ValueError: too many values to unpack (expected 2) while applying cross_correlation_shifts

python

computer-vision

scikit-image

image-registration