April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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Converting RGB image into grayscale by setting the Lab space color channels to zero
Perform the following steps to convert an RGB color image into a grayscale image using the Lab color space and scikit-image library functions:
- Read the input image. Perform a color space transformation—from RGB to Lab color space:
im = imread('images/flowers.png')im1 = rgb2lab(im)
- Set the color channel values (the second and third channels) to zeros:
im1[...,1] = im1[...,2] = 0
- Obtain the grayscale image by converting the image back into the RGB color space from the Lab color space:
im1 = lab2rgb(im1)
- Plot the input and output images, as shown in the following code:
plt.figure(figsize=(20,10))plt.subplot(121), plt.imshow(im), plt.axis('off'), plt.title('Original ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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