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