Computer vision TA-2

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Across
  1. 3. Process of dividing an image into meaningful regions
  2. 6. Technique to scale pixel values or features
  3. 9. A graphical representation of pixel intensity distribution
  4. 11. Measure of intensity change in an image
  5. 13. When a model performs well on training but poorly on test data
  6. 14. Algorithm used for object recognition using nearest neighbors.
Down
  1. 1. A small matrix used for filtering operations
  2. 2. Technique to improve image quality by adjusting brightness and contrast
  3. 4. Technique to reduce noise using a kernel.
  4. 5. smallest unit of an image
  5. 7. Algorithm used for detecting boundaries in images
  6. 8. Operation used in filtering and CNNs
  7. 10. A convolutional architecture widely used in deep learning for vision tasks
  8. 12. Popular color model with Red, Green, Blue components.