Coursera Cuts Jobs Despite $100M Revenue Milestone

Image Processing in MATLAB

Image Processing in MATLAB

Nuruzzaman Faruqui via YouTube Direct link

Lesson 32: Rank Filter

32 of 37
Previous
Next

32 of 37

Lesson 32: Rank Filter

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Image Processing in MATLAB

Automatically move to the next video in the Classroom when playback concludes
  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

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.