Rotate a picture using ndimage.rotate Scipy

Prerequisites: Mathplotlib, Scipy

Some of the most common tasks in image processing are displaying images, Basic manipulations, Image filtering, Image segmentation. 
In this article, we will use a SciPy module “ndimage.rotate()” to rotate. The SciPy ndimage submodule is dedicated to image processing. Here, ndimage means an n-dimensional image.

Approach:

• Import all the required modules.
• SciPy comes with some images, We use those images.
• Call and pass Parameter in ndimage.rotate( ).
• Display Image.

Step 1: Import module.

Python3

from scipy import ndimage, misc
from matplotlib import pyplot as plt

Step 2: The misc package in SciPy comes with some images. We use those images to learn the image manipulations.

Python3

from scipy import ndimage, misc
from matplotlib import pyplot as plt

panda = misc.face()

Step 3: The SciPy “ndimage” submodule is dedicated to image processing. Here, “ndimage” means an n-dimensional image.

Syntax:

scipy.ndimage.rotate(input, angle)

Parameter:

• input: The input array.
• angle: The rotation angle in degrees.
• mode: {‘reflect’, ‘constant’, ‘nearest’, ‘mirror’, ‘wrap’}, optional

Returns: The rotated input.

Python3

from scipy import ndimage, misc
from matplotlib import pyplot as plt
panda = misc.face()

#image rotated 135 degree
panda_rotate = ndimage.rotate(panda, 135, mode = 'constant')

Below is the Implementation:

Example 1:

Python3

from scipy import ndimage, misc
from matplotlib import pyplot as plt

panda = misc.face()
#image rotated 35 degree
panda_rotate = ndimage.rotate(panda, 35,
                              mode = 'mirror')
plt.imshow(panda_rotate)
plt.show()

Output:

Example 2:

Python3

from scipy import ndimage, misc
from matplotlib import pyplot as plt

panda = misc.ascent()

#image rotated 360 degree
panda_rotate = ndimage.rotate(panda, 45,
                              mode = 'constant')
plt.imshow(panda_rotate)
plt.show()

Output: