Hands-On Image Processing with Python

Converting image data structures

The following code block shows how to convert from the PIL Image object into numpy ndarray (to be consumed by scikit-image):

im = Image.open('../images/flowers.png') # read image into an Image object with PILim = np.array(im) # create a numpy ndarray from the Image objectimshow(im) # use skimage imshow to display the imageplt.axis('off'), show()

The next figure shows the output of the previous code, which is an image of flowers:

The following code block shows how to convert from numpy ndarray into a PIL Image object. When run, the code shows the same output as the previous figure:

im = imread('../images/flowers.png') ...