Image processing.ipynb

Kernel: Python 3 (Ubuntu Linux)

Image processing

Python offers many tools for image processing using the SciKit module

# load modules
import numpy as np
from skimage import data
import matplotlib.pyplot as plt

# load standard image
camera = data.camera()

# plot
plt.imshow(camera,cmap='gray')

<matplotlib.image.AxesImage at 0x7f38c6a087b8>

# images are numerical arrays
camera[0:50,0:50] = 0

# 
plt.imshow(camera,cmap='gray')

<matplotlib.image.AxesImage at 0x7f38c617e0b8>

# filtering
from skimage.morphology import disk
from skimage.filters import gaussian

selem = disk(20)
blurred = gaussian(camera, sigma=(10,10))

plt.imshow(blurred,cmap='gray')

<matplotlib.image.AxesImage at 0x7f38c515ab00>

# load standard image
camera = data.camera()
camera = camera + 100*np.random.random(camera.shape)
# plot
plt.imshow(camera,cmap='gray')

<matplotlib.image.AxesImage at 0x7f38c47827f0>