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Image processing
Contributed by: Stokes
  • 1. Image processing is a method to perform operations on an image in order to get an enhanced image or to extract some useful information from it. It involves various techniques including image enhancement, segmentation, noise reduction, feature extraction, pattern recognition, and more. Image processing is used in a wide range of applications such as medical imaging, satellite imaging, facial recognition, self-driving cars, and digital photography. It plays a crucial role in enhancing the quality of images, analyzing visual data, and facilitating decision-making in various fields.

    What is spatial domain processing in image processing?
A) Operations are performed directly on the pixels of an image.
B) Converting an image to a different color space.
C) Applying filters to an image.
D) Analyzing the frequency components of an image.
  • 2. What is image segmentation?
A) Detecting and recognizing objects in an image.
B) Creating a 3D representation of an image.
C) Adjusting the contrast of an image.
D) Dividing an image into multiple segments to simplify its representation.
  • 3. What is edge detection in image processing?
A) Morphing one image into another.
B) Blurring the details in an image.
C) Colorizing a black and white image.
D) Identifying the boundaries of objects in an image.
  • 4. What is image compression?
A) Enlarging an image without losing quality.
B) Converting a color image to grayscale.
C) Reducing the size of an image file while preserving its visual quality.
D) Adding noise to an image.
  • 5. What does the term 'bit depth' refer to in image processing?
A) The number of colors in an image.
B) The aspect ratio of an image.
C) The physical size of an image in pixels.
D) The number of bits used to represent each pixel in an image.
  • 6. What is histogram equalization used for in image processing?
A) Resizing an image.
B) Adding noise to an image.
C) Converting an image to black and white.
D) Improving the contrast of an image by spreading out pixel values.
  • 7. In image processing, what is the Fourier transform used for?
A) Detecting edges in an image.
B) Converting an image from spatial domain to frequency domain.
C) Rotating an image.
D) Creating animations from still images.
  • 8. Which technique is commonly used to remove noise from images?
A) Thresholding
B) Dithering
C) Median filtering
D) Saturation adjustment
  • 9. What is a convolutional neural network (CNN) commonly used for in image processing?
A) Image classification and object detection.
B) Creating image collages.
C) Adding motion blur to images.
D) Converting color images to black and white.
  • 10. What is the purpose of morphological operations in image processing?
A) Enhancing the brightness of an image.
B) Smoothing out the texture of an image.
C) Applying artistic filters to an image.
D) Manipulating the structure of objects in an image.
  • 11. What is template matching in image processing?
A) Detecting edges in an image.
B) Creating a collage from multiple images.
C) Finding a subimage within a larger image.
D) Generating random images.
  • 12. What is color space conversion in image processing?
A) Converting an image from one color representation to another.
B) Resizing an image.
C) Adjusting the brightness of an image.
D) Adding noise to an image.
  • 13. Which image processing technique is used for recognizing and extracting text from images?
A) Optical Character Recognition (OCR)
B) Pixel averaging
C) Histogram analysis
D) Lens distortion correction
  • 14. What is the purpose of dilating an image in morphological operations?
A) Adding noise to an image.
B) Reducing the size of objects in an image.
C) Expanding the boundaries of objects in an image.
D) Changing the colors of an image.
  • 15. Which image file format supports lossless compression?
A) BMP
B) JPEG
C) GIF
D) PNG
  • 16. Which algorithm is commonly used for image segmentation?
A) K-means clustering
B) Gradient descent
C) Principal component analysis
D) Linear regression
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