Playing with image filters.

image_filter.py

#!/usr/bin/env python

"""Playing with image filters."""

import scipy.misc
import scipy.ndimage
import numpy as np

# Load an example image
# Use scipy.ndimage.imread(file_name, mode='L') if you have your own
img = scipy.misc.face()

# Convert to grayscale
R = img[:, :, 0]
G = img[:, :, 1]
B = img[:, :, 2]
img_gray = R * 299. / 1000 + G * 587. / 1000 + B * 114. / 1000
img = img_gray

# Show and save original image
scipy.misc.imshow(img)
scipy.misc.imsave("original.png", img)

# Convolve
k = np.array([[-1, 0, 1], [-1, 0, 1], [-1, 0, 1]])
new1 = scipy.ndimage.convolve(img, k, mode='constant', cval=0.0)

# Show and save convolved image
scipy.misc.imshow(new1)
scipy.misc.imsave("new1.png", new1)