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7. What happens when an image has more pixels?
a. The image becomes larger but less detailed
b. The image appears blurry
c. The image looks more detailed and closer to the original
d. The image changes its format automatically
8. What is the range of pixel values in an 8-bit image?
a. 0-100 b. 0-255
c. 0-512 d. 0-1024
9. In grayscale images, a pixel value of 255 represents:
a. Black b. White
c. Gray d. Transparent
10. In a grayscale image, what does the darkest shade represent? [CBSE Handbook]
a. Total presence of colour b. Zero value of pixel
c. Lightest shade of gray d. Maximum pixel value
B. Fill in the blanks.
1. If an RGB pixel has the values [255, 0, 0], ……….……................ colour will appear.
2. Computer Vision works on the same phenomena as that of ……….…….................
3. ……….……................ provides foundational tools and techniques often used in computer vision tasks.
4. ……….……................ is a powerful technology that uses Computer Vision to identify and verify people based on their facial
features.
5. ……….……................ refers to the dimensions that determine the number of pixels present on a screen or in an image.
6. The pixels in a ……….……................ image are arranged in a 2D grid.
7. Pixel stands for ……….…….................
8. ……….……................ is the process of identifying or detecting the instances of real-world objects.
9. An image comprises of a rectangular array of dots known as ……….…….................
10. ……….……................ means where the object is located in the image.
C. State whether these statements are true or false.
1. AI enables machines to observe, process, and act upon information like humans. ……….……
2. Computer Vision helps machines perceive the world through images or visual data. ……….……
3. Image Processing is a superset of Computer Vision. ……….……
4. Face filters in Computer Vision only detect and track facial features but do not apply digital effects. ……….……
5. Grayscale images are simpler to process and take up less memory compared to colour images. ……….……
6. Computer Vision only works with raw image data and does not require advanced algorithms
for interpretation. ……….……
7. Computer Vision can help self-driving cars identify objects like pedestrians, traffic signs, and other vehicles. ……….……
8. Computer Vision operates at a lower level of abstraction than Image Processing. ……….……
SECTION B (Subjective Type Questions)
A. Short answer type questions.
1. What is the concept of Computer Vision?
Computer Vision 223

