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