Page 328 - AI Computer 10

C. State ‘T’ for True or ‘F’ for False statements.

1. Convolution is a process of element-wise multiplication of image arrays and another array called the
kernel, followed by summing the results.

2. Pixels, the smallest components of a digital image, are represented by binary digits in computers, stored
and transmitted as a series of ones and zeros.
3. The term “medical imaging” aims to visualize only the external features of the body, excluding organs
and tissues.
4. Object segmentation is a straightforward task in Computer Vision that involves predicting object instances
without considering per-pixel segmentation masks.
5. Resolution refers to the total number of pixels in a digital image and has no impact on the image’s quality
or clarity.
6. In a convolution operation, the center of the kernel must overlap with the center of the image to obtain
the convolution output.

7. In neural networks, biases are initialized to large random numbers to ensure a diverse range of values during
weight updates.
8. CNNs take input as one-dimensional arrays and focus primarily on feature extraction rather than directly
operating on images.
D. Very short answer type questions.

1. What process is commonly used in Computer Vision to create visual effects by changing pixel values in
an image?

2. What does the term “pixel” represent in the context of digital images?
3. Which technology uses Computer Vision to overlay and embed virtual objects on real-world imagery?
4. What is the primary goal of medical image analysis in the healthcare industry?

5. What does OCR help in extracting from digitized documents and PDFs in digital documentation?
6. In a convolution operation, what is the role of the Kernel matrix in relation to the input image?
7. What does the term “resolution” refer to in the context of digital images?

8. What is the primary difference between Convolutional Neural Networks (CNNs) and ordinary neural
networks in their approach to images?
How an RGB image is different from a grayscale image?
9. Determine the color of a pixel based on its RGB values mentioned below:
(i) R=0, B=0, G=0
(ii) R=255, B=255, G=255

(iii) R=0, B=0, G=255
(iv) R=0, B=255, G=0
E. Short answer type questions.

1. Explain the concept of “pixel” in digital images and its role in storing visual information.
2. How is the resolution of a digital image defined, and why does it impact image quality?
3. What is the significance of Object Segmentation in computer vision, and how does it differ from other
tasks?
4. Briefly explain the concept of a “Kernel” in the context of convolution and its role in image processing.

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