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