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Image Processing in MATLAB

Image Processing in MATLAB

Nuruzzaman Faruqui via YouTube Direct link

Lesson 1: Extracting Image Properties using MATLAB

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1 of 37

Lesson 1: Extracting Image Properties using MATLAB

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Image Processing in MATLAB

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  1. 1 Lesson 1: Extracting Image Properties using MATLAB
  2. 2 Lesson 2: Reading, Changing Format and Writing Image using MATLAB
  3. 3 Lesson 3: Displaying Images using MATLAB
  4. 4 Lesson 4: Changing Color Space
  5. 5 Lesson 5: Separating / Splitting Channels using MATLAB
  6. 6 Lesson 6: Accessing the Pixel Value of a Grayscale Image using Matlab
  7. 7 Lesson 7: Accessing Pixel Values of an RGB Image using Matlab
  8. 8 Lesson 8: Convolution of 1D Signal using Matlab
  9. 9 Lesson 9: Convolution of 2D Image
  10. 10 Lesson 10: Image Construction using Sample Points
  11. 11 Lesson 11: Adding Pixel Values using Matlab
  12. 12 Lesson 12: Image Subtraction in Matlab
  13. 13 Lesson 13: Multiplication and Division on Image using Matlab
  14. 14 Lesson 14: Image Complement using Matlab
  15. 15 Lesson 15: xor Operation on Matlab
  16. 16 Lesson 16: Changing Binary Threshold using Matlab
  17. 17 Lesson 17: Logarithmic Transformation of Image using Matlab
  18. 18 Lesson 18: Exponential Transformation of Image using Matlab
  19. 19 Lesson 19: Power Law Transformation of Image Using MATLAB
  20. 20 Lesson 20: Histogram Analysis using Matlab
  21. 21 Lesson 21: Counting the Values of bins of Histogram using Matlab
  22. 22 Lesson 22: Threshold Selection for Image using Matlab
  23. 23 Lesson 23: Adaptive Threshold in Image Processing using Matlab
  24. 24 Lesson 24: Contrast Stretching in Image Processing using Matlab
  25. 25 Lesson 25: Histogram Equalization in Image Processing using Matlab
  26. 26 Lesson 26 Histogram Matching in Image Processing using Matlab
  27. 27 Lesson 27: Color Histogram in Image Processing using Matlab
  28. 28 Lesson 28: Max and Min Filtering in Image Processing using Matlab
  29. 29 lesson 29: Adding Salt and Pepper Noise using Matlab
  30. 30 Lesson 30: Removing Salt and Pepper Noise using Mean Filter in Matlab
  31. 31 Median Filter to Remove Noise from Image
  32. 32 Lesson 32: Rank Filter
  33. 33 Lesson 33: Gaussian Filter
  34. 34 Lesson 34: Roberts Edge Detector
  35. 35 Lesson 35: Prewitt Edge Detection
  36. 36 Lesson 36: Sobel Edge Detector
  37. 37 Lesson 37: Edge Detection in Videos

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