5 Essential Functions in OpenCv

Question: What does the OpenCV function "blur" do?

• a) Converts a color image to grayscale.

• b) Reduces the size of an image.

• c) Applies a smoothing filter to the image, reducing noise and details.

• d) Enlarges the boundaries of objects in an image.

Question: What is the purpose of the "resize" function in OpenCV?

• a) Adds padding around the image to increase its dimensions.

• b) Changes the aspect ratio of the image.

• c) Adjusts the size of the image, preserving its spatial content.

• d) Converts the image from one color space to another.

Question: What effect does the "erode" function have on an image?

• a) Removes small objects or noise from the image.

• b) Shrinks the boundaries of objects in the image.

• c) Enhances the edges and details of the image.

• d) Converts the image to binary format.

Question: How does the "dilate" function alter an image?

• a) Increases the intensity of all pixels in the image.

• b) Enlarges the boundaries of objects in the image.

• c) Reduces the brightness of the image.

• d) Converts the image to grayscale.

Question: What is the primary purpose of cropping an image?

• a) To reduce the resolution of the image for faster processing.

• b) To zoom in on a specific region of interest.

• c) To change the color space of the image.

• d) To rotate the image by a certain angle.

Question: Which function in OpenCV is used to convert a BGR (Blue, Green, Red) image to grayscale?

• a) convertToGray()

• b) toGrayscale()

• c) cvtColor()

• d) BGRtoGray()

Question: What is the main advantage of converting a BGR image to grayscale?

• a) Grayscale images take up less memory compared to BGR images.

• b) Grayscale images are easier to display on most devices.

• c) Grayscale images preserve color information better.

• d) Grayscale images simplify image processing tasks such as edge detection.