computer vision Quiz

You want to crop a part of one image, resize it, and blend it with another image so both are partially visible. Which OpenCV functions and parameters would you need?

•  a) Cropping + cv2.addWeighted()

•  b) Cropping + cv2.add()

•  c) cv2.merge() + Cropping

•  d) cv2.bitwise_or() + Cropping

You apply Gaussian Blur before Canny edge detection on a grayscale image. Which problem is this sequence trying to avoid?

•  a) Missing strong edges

• b) Detecting noise as edges

• c) Losing image brightness

• d) Changing color representation

You are designing a shape-tracking app that requires edge detection and real-time object boundary drawing. Which two main OpenCV features would you combine?

• 1.  a) Filters + Color conversion

• 1. b) Edge detection + Contours

• 1. c) HSV masking + Gaussian Blur

• 1. d) Cropping + Rotation

You want to compare the smoothing effects of three filters from the slides. Which combination of filters should you apply in sequence to see clear differences?

• a) Averaging → Gaussian → Median

• b) Laplacian → Sobel → Canny

• c) HSV mask → Contours → Sobel

• d) Resize → Merge → Rotate

You are processing a webcam feed to detect a moving blue object and draw a rectangle around it. Which two main steps from the slides are required?

•  a) HSV masking + Contours

• b) Gaussian Blur + Sobel

• c) Laplacian + Merge

• d) Cropping + Resize

You need to detect vertical edges in a resized grayscale image and then highlight them in color on the original image. Which sequence works?

•  a) Resize → Grayscale → Sobel Y → Overlay on original

• b) Sobel X → Merge → HSV

• c) Laplacian → HSV mask

• d) Grayscale → Gaussian Blur → Canny

You want to detect objects of a certain color in HSV and then find their exact shape outlines. Which two methods from the slides should you combine?

•  a) Masking + Contours

• b) Sobel + Median Blur

• c) Laplacian + AddWeighted

• d) Gaussian Blur + Cropping

You want to make a real-time drawing board that uses color tracking. Which combination from the slides is most essential?

• a) HSV masking + Contours + Drawing functions

• b) Sobel + Gaussian Blur + Merge

• c) Laplacian + AddWeighted + Resize

• d) Grayscale + Median Blur + Rotate

You apply Median Blur to a grayscale image and then run Canny edge detection. Why might this give better results than applying Canny directly?

•  a) Removes small noise before edge detection

• b) Makes edges thicker

• c) Increases brightness

• d) Changes the image resolution

You run Canny edge detection on a noisy HSV mask without blurring first. What is the most likely problem you’ll face?

• a) Many false edges from noise in the mask

• b) Edges will be too thin

• c) Only vertical edges will be detected

• d) Edges will disappear completely