I'm trying to display a grayscale image using matplotlib.pyplot.imshow(). My problem is that the grayscale image is displayed as a colormap. I need the grayscale because I want to draw on top of the image with color.
I read in the image and convert to grayscale using PIL's Image.open().convert("L")
image = Image.open(file).convert("L")
Then I convert the image to a matrix so that I can easily do some image processing using
matrix = scipy.misc.fromimage(image, 0)
However, when I do
figure()
matplotlib.pyplot.imshow(matrix)
show()
it displays the image using a colormap (i.e. it's not grayscale).
What am I doing wrong here?
The following code will load an image from a file image.png
and will display it as grayscale.
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
fname = 'image.png'
image = Image.open(fname).convert("L")
arr = np.asarray(image)
plt.imshow(arr, cmap='gray', vmin=0, vmax=255)
plt.show()
If you want to display the inverse grayscale, switch the cmap to cmap='gray_r'
.