April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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How to do it...
To do the recipe, the following steps need to be performed:
- Read the input and background image. Convert the input image from BGR into the HSV color space:
bck = cv2.imread("images/fish_bg.png")img = cv2.imread("images/fish.png")hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
- Create a mask for the fish by selecting a possible range of HSV colors that the fish can have:
mask = cv2.inRange(hsv, (5, 75, 25), (25, 255, 255))
- Slice the orange fish using the mask:
imask = mask>0orange = np.zeros_like(img, np.uint8)orange[imask] = img[imask]
- Change the color of the orange fish to yellow by changing the hue channel value only (add 20) and converting the image back into the BGR space:
yellow = img.copy()hsv[...,0] = hsv[...,0] + ...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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