Mastering OpenCV 4 with Python

Chapter 5

1. The cv2.split() function splits the source multi-channel image into several single-channel images, (b, g, r) = cv2.split(image).
2. The cv2.merge() function merges several single-channel images into a multi-channel image, image = cv2.merge((b, g, r)).
3. The image can be translated as follows:

height, width = image.shape[:2]M = np.float32([[1, 0, 150], [0, 1, 300]])dst_image = cv2.warpAffine(image, M, (width, height))

4. The image can be rotated in the following manner:

height, width = image.shape[:2]M = cv2.getRotationMatrix2D((width / 2.0, height / 2.0), 30, 1)dst_image = cv2.warpAffine(image, M, (width, height))

5. The image can be built as follows:

kernel = np.ones((5, 5), np.float32) / 25smooth_image = cv2.filter2D(image, -1, ...