Digital Image Processing - Tasks

Tasks

Digital image processing allows the use of much more complex algorithms, and hence, can offer both more sophisticated performance at simple tasks, and the implementation of methods which would be impossible by analog means.

In particular, digital image processing is the only practical technology for:

  • Classification
  • Feature extraction
  • Pattern recognition
  • Projection
  • Multi-scale signal analysis

Some techniques which are used in digital image processing include:

  • Pixelation
  • Linear filtering
  • Principal components analysis
  • Independent component analysis
  • Hidden Markov models
  • Anisotropic diffusion
  • Partial differential equations
  • Self-organizing maps
  • Neural networks
  • Wavelets

Read more about this topic:  Digital Image Processing

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    Herbert Hoover (1874–1964)

    We are all adult learners. Most of us have learned a good deal more out of school than in it. We have learned from our families, our work, our friends. We have learned from problems resolved and tasks achieved but also from mistakes confronted and illusions unmasked. . . . Some of what we have learned is trivial: some has changed our lives forever.
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