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WorksheetsIntroduction to Computer Vision
Total questions: 20
Worksheet time: 10mins
What is the aim of Computer Vision (CV)?
To enable machines to interpret visual information
To enhance image quality
To perform pixel-level manipulation
To analyze biological images
What does Image Processing (IP) focus on?
Interpreting visual information
Transforming and analyzing images
Object detection
Facial recognition
What is the difference between CV and IP?
CV focuses on pixel-level manipulation
IP works on higher-level interpretation
CV is more focused on higher-level interpretation
IP allows for applications like object detection
What are the basic operations in image processing?
Image acquisition, preprocessing, enhancement
Filtering, noise reduction, color adjustments
Object detection, facial recognition
Segmentation, feature extraction
What is edge detection used for?
Identifying boundaries in images
Enhancing image quality
Segmenting images into regions
Extracting features from images
What is the purpose of segmentation in image processing?
Dividing an image into meaningful regions
Identifying boundaries
Enhancing image quality
Extracting features
What is a common application of computer vision in healthcare?
Medical imaging for diagnosing diseases
Image-based product search
Facial recognition in security systems
Augmented reality for virtual try-ons
What is the role of computer vision in self-driving cars?
Lane detection and object recognition
Image enhancement
Facial recognition
Medical imaging
What is the function of OCR software?
Enhancing scanned documents
Recognizing text in images
Detecting faces
Segmenting images
What are the three types of images?
Binary, grayscale, color
Monochrome, color, RGB
Black and white, color, sepia
Vector, raster, 3D
What is the first step in the image processing pipeline?
Image acquisition
Image preprocessing
Feature extraction
Recognition or detection
What does image preprocessing aim to achieve?
Enhance the quality of the image
Store the image in a specific format
Capture raw image data
Identify objects in the image
What is the purpose of image enhancement?
To improve visual quality and clarity
To remove noise from the image
To divide an image into regions
To extract features from the image
What is the function of image segmentation?
To enhance image quality
To divide an image into meaningful regions
To recognize objects in the image
To store the image in a file format
What is the RGB color model used for?
To represent colors in digital images
To convert colors to hex codes
To store images in a file format
To enhance image quality
What is the maximum number of colors in 16-bit color format?
256
65,536
16 million
1,024
What does CMYK stand for in the CMYK color model?
Cyan, Magenta, Yellow, Black
Cyan, Magenta, Yellow, White
Color, Magenta, Yellow, Black
Cyan, Magenta, Yellow, Key
What is the process of converting RGB to hex code?
Dividing the RGB values by 16
Combining the RGB values
Separating the RGB values into three parts
All of the above
What is the purpose of feature extraction in image processing?
To identify and extract meaningful information
To enhance the quality of the image
To recognize objects in the image
To convert colors to hex codes
What is the role of recognition or detection in image processing?
To classify objects or patterns within an image
To enhance the quality of the image
To divide an image into regions
To extract features from the image
