April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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Object counting with closing and opening
Perform the following steps to count objects using morphological closing and opening, again using OpenCV-Python functions:
- Read the rasagolla input (a typical Bengali sweet dish) image, convert it into grayscale, and invert:
image = cv2.imread('images/rasagolla.jpg')gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)gray = cv2.bitwise_not(gray) #255 - gray
- Use the Canny edge detector to find the edges in the image, threshold the edge image, and then, using a 4 x 4 square SE, apply binary closing followed by binary opening to the thresholded edge image (to separate the objects):
edged = cv2.Canny(gray, 50, 150)thresh = cv2.threshold(gray, 100, 255, cv2.THRESH_BINARY_INV)[1]kernel = np.ones((4,4),np.uint8) ...
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