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) / 25
smooth_image = cv2.filter2D(image, -1, kernel)

6. The grayscale image is as follows:

M = np.ones(image.shape, dtype="uint8") * 40
added_image = cv2.add(image, M)

7. COLORMAP_JET can be applied as follows: img_COLORMAP_JET = cv2.applyColorMap(gray_img, cv2.COLORMAP_JET)