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Image Processing Pre - Processing

Image Processing Pre - Processing. Institute of Medical Engineering University of Lübeck Director: Prof. Dr. T. M. Buzug. Lecturer: Mandy Ahlborg. Noise - Different Types of Noise. Gaussian. Rayleigh. Gamma. Exponential. Uniform. Impulse. Noise - Different Types of Noise.

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Image Processing Pre - Processing

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  1. Image ProcessingPre-Processing Institute of Medical Engineering University of Lübeck Director: Prof. Dr. T. M. Buzug Lecturer: Mandy Ahlborg

  2. Noise - Different Types of Noise Gaussian Rayleigh Gamma Exponential Uniform Impulse

  3. Noise - Different Types of Noise Gaussian noise Rayleigh noise

  4. Noise - Different Types of Noise Gamma noise Exponential noise

  5. Noise - Different Types of Noise Uniform noise Impulse noise

  6. Noise - Filter Masks How do we apply a mask?

  7. Noise - Filter Masks 9 1 1 1 4 5 1 1 1 9 1 4 5 1 3 1 1 6 0 7 1 1 1 0 1 4 6 7 1 1 3 7 5 1 1 6 2 3 1 7 5 1 6 2 7 0 1 4 5 1 2 7 0 1 4 5 1 2 8 2 1 1 8 2 1 1 1 1 1 1 1 1 1 3 1 9 1 1 3 1 9 7 4 0 7 4 0 2 6 1 1 1 6 1 1 1 5 1 0 5 1 0 Moving average Median filter

  8. Noise - Filter Masks 9 1 1 1 4 5 1 5 1 1 6 0 7 1 1 3 7 5 1 1 6 2 7 0 1 4 5 1 2 8 2 1 1 1 1 1 1 3 1 9 7 4 0 4 6 1 1 1 5 1 0 Midpoint filter

  9. Noise - Filter Masks 9 1 1 1 4 5 1 1 1 6 0 4 7 1 1 Gaussian/ Binomial filter mask 3 7 5 1 1 6 2 1 2 1 7 0 1 4 5 1 2 2 2 4 8 2 1 1 1 1 1 1 1 2 1 3 1 9 7 4 0 4 6 1 1 1 5 1 0 Gaussian/Binomial filter

  10. Noise Reduction with Filtering Gaussian noise Moving average filter

  11. Noise Reduction with Filtering Impulse noise Median filter

  12. Noise Reduction with Filtering Impulse noise Gaussian filter

  13. Noise Reduction with Filtering Uniform noise Moving average filter

  14. Noise - Anisotropic Diffusion

  15. Noise - Anisotropic Diffusion ; iteration 20 ; iteration 100 ; iteration 1

  16. Noise - Anisotropic Diffusion ; iteration 20 ; iteration 100 ; iteration 1

  17. Noise - Anisotropic Diffusion ; iteration 20 ; iteration 100 ; iteration 1

  18. Noise - Error Measures

  19. Spatial-basedMethods-Boundary Treatment zero padding constant extension periodic repetition symmetric extension

  20. Spatial-basedMethods - SpatialTransformations Rigid Affine Projection

  21. Spatial-basedMethods - Interpolation Nearest neighbor interpolation

  22. Spatial-basedMethods - Interpolation Linear interpolation

  23. Spatial-basedMethods - Interpolation Cubic interpolation

  24. Spatial-based Methods - Interpolation Original Size reduction by 0.25 with nearest neighbor interpolation

  25. Spatial-based Methods - Interpolation Original Size reduction by 0.25 with bilinear interpolation

  26. Spatial-based Methods - Interpolation Original Size reduction by 0.25 with bicubic interpolation

  27. Spatial-basedMethods- Sharpening

  28. Spatial-basedMethods- Sharpening detail mask Source: lecture slides Computer Aided Medical Diagnosis, Prof. Navab, TU Munich

  29. Intensity-based Methods - Histogram Processing number of bins: 256

  30. Intensity-based Methods - Histogram Processing number of bins: 128

  31. Intensity-based Methods - Histogram Processing number of bins: 64

  32. Intensity-based Methods - Histogram Processing number of bins: 32

  33. Intensity-based Methods - Histogram Equalization

  34. Intensity-based Methods - Histogram Equalization

  35. Intensity-based Methods - Intensity Transformations Identity Negative Thresholding Dark ↔ Light Dark ↔ Light Dark ↔ Light Dark ↔ Light Dark ↔ Light Dark ↔ Light

  36. Intensity-based Methods - Intensity Transformations Contrast stretching Contrast stretching Dark ↔ Light Dark ↔ Light Dark ↔ Light Dark ↔ Light

  37. Intensity-based Methods - Intensity Transformations -Correction Log transform Dark ↔ Light Dark ↔ Light Dark ↔ Light Dark ↔ Light

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