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Questions and Answers
What color results from mixing all primary colors in the RGB color model?
What color results from mixing all primary colors in the RGB color model?
Which of the following colors is not a primary pigment color?
Which of the following colors is not a primary pigment color?
Which color model is primarily used for digital design?
Which color model is primarily used for digital design?
In the CMY color model, what color does combining all primary colors result in?
In the CMY color model, what color does combining all primary colors result in?
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What is the primary purpose of the YIQ color model?
What is the primary purpose of the YIQ color model?
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Which of the following represents secondary colors derived from primary pigment colors?
Which of the following represents secondary colors derived from primary pigment colors?
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What characterizes RGB color mixing?
What characterizes RGB color mixing?
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Which of the following color channels is commonly used for image manipulation?
Which of the following color channels is commonly used for image manipulation?
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What is the primary focus of the module described?
What is the primary focus of the module described?
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What does the digitization of the amplitude in an image involve?
What does the digitization of the amplitude in an image involve?
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What is the format of the original image function in the 2-D domain?
What is the format of the original image function in the 2-D domain?
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What type of array is used in the C language for representing an image?
What type of array is used in the C language for representing an image?
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What does the cv2.imread() function return if the image cannot be read?
What does the cv2.imread() function return if the image cannot be read?
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How is image sampling described in the module?
How is image sampling described in the module?
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Which flag option is related to how an image is read in cv2.imread()?
Which flag option is related to how an image is read in cv2.imread()?
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After equally spaced sampling, how is the processed image represented?
After equally spaced sampling, how is the processed image represented?
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What is the main focus of computer vision?
What is the main focus of computer vision?
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What is a key disadvantage of 2-D image capturing devices compared to 3-D counterparts?
What is a key disadvantage of 2-D image capturing devices compared to 3-D counterparts?
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What is the primary function of the OpenCV library in image processing?
What is the primary function of the OpenCV library in image processing?
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Which device is used specifically for capturing depth information in images?
Which device is used specifically for capturing depth information in images?
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Why are 2-D image capturing devices considered to have easier access compared to 3-D devices?
Why are 2-D image capturing devices considered to have easier access compared to 3-D devices?
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Which color model is primarily described for measuring colors in the content?
Which color model is primarily described for measuring colors in the content?
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What is luminance defined as in the context of color light sources?
What is luminance defined as in the context of color light sources?
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What technique is used in a stereogram to create a perception of depth?
What technique is used in a stereogram to create a perception of depth?
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What is one of the limitations of 3-D capturing devices mentioned?
What is one of the limitations of 3-D capturing devices mentioned?
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What is the purpose of using a color map in the image processing steps mentioned?
What is the purpose of using a color map in the image processing steps mentioned?
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In which scenarios do most computer vision applications still rely on 2-D images?
In which scenarios do most computer vision applications still rely on 2-D images?
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Which of the following best describes the concept of radiance?
Which of the following best describes the concept of radiance?
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In the electromagnetic energy spectrum, which range corresponds to visible light?
In the electromagnetic energy spectrum, which range corresponds to visible light?
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Which of the following statements is correct regarding depth information in images?
Which of the following statements is correct regarding depth information in images?
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What does the perception of white light indicate about the reflection from an object?
What does the perception of white light indicate about the reflection from an object?
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What is the significance of copying the image to Co-Lab in the process?
What is the significance of copying the image to Co-Lab in the process?
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What does the Y component in the YIQ Colour Model primarily represent?
What does the Y component in the YIQ Colour Model primarily represent?
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Which colour model separates luminance from chrominance?
Which colour model separates luminance from chrominance?
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In the context of the HSI Colour Model, what does saturation describe?
In the context of the HSI Colour Model, what does saturation describe?
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Why is it important to understand different colour spaces?
Why is it important to understand different colour spaces?
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What does the H component in the HSI Colour Model represent?
What does the H component in the HSI Colour Model represent?
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How does the YIQ Colour Model maintain compatibility with monochrome TV?
How does the YIQ Colour Model maintain compatibility with monochrome TV?
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What aspect of visual perception does the HSI Colour Model correlate well with?
What aspect of visual perception does the HSI Colour Model correlate well with?
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What is the characteristic of the RGB color model?
What is the characteristic of the RGB color model?
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Which operation can be affected by the choice of colour space?
Which operation can be affected by the choice of colour space?
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What happens when histogram equalization is applied to an RGB image?
What happens when histogram equalization is applied to an RGB image?
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Which description accurately defines a monochrome image?
Which description accurately defines a monochrome image?
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How does the grayscale color model represent color?
How does the grayscale color model represent color?
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What is the typical value range for grayscale colors?
What is the typical value range for grayscale colors?
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Why is the RGB model considered unsuitable for color image enhancement?
Why is the RGB model considered unsuitable for color image enhancement?
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What is true about the representation of color in the RGB model?
What is true about the representation of color in the RGB model?
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What limitation does the grayscale model have in color representation?
What limitation does the grayscale model have in color representation?
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Study Notes
Colour Image Processing
- Colour image processing involves analysing and manipulating images containing colour.
- Computer vision is a field that empowers computers to identify and interpret objects or people within images and videos. It replicates human capabilities.
- 2-D images lack the depth dimension, unlike 3-D images which capture depth information.
- 2-D image capture is done using devices like cameras, recording only the 2 dimensions of an image.
- 3-D image capture devices, like lidar cameras and Kinect cameras, record depth information in addition to the dimensions of the 2-D image.
- Stereograms are images that use patterns to create an illusion of depth. The brain interprets these patterns as 3-D images.
- Most computer vision applications currently use 2-D images due to the ease of access and availability of 2-D capturing devices. 3-D devices are still less prevalent and expensive.
- Examples of 2-D computer vision applications include X-ray analysis and image recognition.
- Examples of 3-D computer vision applications include autonomous robots and self-driving cars.
- The original image (f(x, y)) is a continuously-valued function in the 2-D X-Y coordinate system, having an amplitude.
- Digital representation of an image (f(x,y)) involves spatial digitisation (image sampling) within the 2-D X-Y plane and amplitude digitisation (gray-level quantisation).
- Images are usually represented as matrices, with typical pixel values quantised to integers between 0 and 255 (8-bit representation).
- The presentation provides examples of how to store image data as a matrix in Colab.
- The presentation emphasizes the importance of the
cv2.imread()
function to read images. This function uses a filename for the image path and aflag
to specify the reading methods. It returns a NumPy array.
Colour Models
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Colour perception is determined by the light reflected from an object.
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Visible light is part of the electromagnetic spectrum, roughly between 400 nm and 700 nm.
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The quality of a chromatic light source (color) can be described by quantities like radiance (watts) which measure the amount of energy emitted from the source, while luminance (lumens) measures the amount of perceived energy by the observer.
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Brightness is the subjective descriptor of how bright a color appears to the human eye. These descriptions are not necessarily frequency-related.
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Colours can be represented by combining three primary colours: red (R), green (G) and blue (B). These are additive colours.
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Secondary colours such as yellow, magenta, and light blue are created by combining primary colours. All mixed, they produce white light.
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Pigment colours (like those used in printing) use a different method. Primary pigment colours use cyan (C), magenta(M), and yellow (Y) to create secondary colours and black (K). The K is also known as Key colour that determine the image outcome.
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Different colour models (RGB, CMY, HSV, HSI, YIQ) are used for different purposes. RGB is commonly used for displaying images on screens (hardware) and digital designs.
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CMYK is used for printing (hardware). HSV is useful in image manipulations because it describes colour in a way that correlates with the human visual system.
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The presentation explains different colour models (used for both hardware and image manipulation). It includes RGB, HSV, CMYK, and YIQ.
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The slide explains that different colour models (RGB, HSV, CMYK, and YIQ) use different methods and formats for storing the information, and these formats have different use cases in image processing.
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Images are often represented using channels (in different colour spaces).
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cv2.cvtColor()
is used to manipulate or change colour space.
Image Representation
- A monochrome/monochrome image has either one colour or values of the same colour. It includes grayscale and black-and-white images.
- Grayscale images use different degrees of shades of gray from black to white with values from 0 - 255. Black and white have only one channel.
- The RGB model describes how each colour is a combination of the amount of red, green, and blue in each pixel.
- The HSI (Hue, Saturation, Intensity) model is used in image processing because it describes the way colours can combine.
- Colour is displayed by defining the Hue, Saturation, and Value.
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Description
Test your knowledge on colour image processing and its applications in computer vision. This quiz covers topics on 2-D and 3-D image capture, depth information, and examples of computer vision tasks. Challenge yourself with questions that explore the intricacies of images and their manipulation.