Image processing
  • 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) Analyzing the frequency components of an image.
C) Applying filters to an image.
D) Converting an image to a different color space.
  • 2. What is image segmentation?
A) Detecting and recognizing objects in an image.
B) Creating a 3D representation of an image.
C) Dividing an image into multiple segments to simplify its representation.
D) Adjusting the contrast of an image.
  • 3. What is edge detection in image processing?
A) Morphing one image into another.
B) Colorizing a black and white image.
C) Identifying the boundaries of objects in an image.
D) Blurring the details in an image.
  • 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 number of colors in 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) Improving the contrast of an image by spreading out pixel values.
D) Resizing an image.
  • 7. 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) Manipulating the structure of objects in an image.
D) Applying artistic filters to an image.
  • 8. In image processing, what is the Fourier transform used for?
A) Detecting edges in an image.
B) Rotating an image.
C) Converting an image from spatial domain to frequency domain.
D) Creating animations from still images.
  • 9. What is a convolutional neural network (CNN) commonly used for in image processing?
A) Image classification and object detection.
B) Adding motion blur to images.
C) Creating image collages.
D) Converting color images to black and white.
  • 10. What is template matching in image processing?
A) Creating a collage from multiple images.
B) Finding a subimage within a larger image.
C) Detecting edges in an image.
D) Generating random images.
  • 11. What is color space conversion in image processing?
A) Adding noise to an image.
B) Resizing an image.
C) Adjusting the brightness of an image.
D) Converting an image from one color representation to another.
  • 12. What is the purpose of dilating an image in morphological operations?
A) Adding noise to an image.
B) Changing the colors of an image.
C) Expanding the boundaries of objects in an image.
D) Reducing the size of objects in an image.
  • 13. Which image file format supports lossless compression?
A) PNG
B) JPEG
C) GIF
D) BMP
  • 14. Which technique is commonly used to remove noise from images?
A) Saturation adjustment
B) Median filtering
C) Dithering
D) Thresholding
  • 15. Which algorithm is commonly used for image segmentation?
A) Linear regression
B) K-means clustering
C) Gradient descent
D) Principal component analysis
  • 16. 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)
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