Видео курса

  • Урок 1. 00:02:21
    Introduction
  • Урок 2. 00:02:38
    Installing our Development Environment
  • Урок 3. 00:04:02
    Overview of CodeBlocks
  • Урок 4. 00:02:23
    Overview of Image Processing
  • Урок 5. 00:04:01
    Understanding Image Color and Resolution
  • Урок 6. 00:03:32
    Understanding Image Formats and Data types
  • Урок 7. 00:01:34
    The Bitmap Format
  • Урок 8. 00:17:33
    Coding : Opening and Copying an Image
  • Урок 9. 00:29:19
    Coding : Creating an ImageReader and ImageWriter Function
  • Урок 10. 00:33:37
    Coding : Creating the Image Processing Library (Part I)
  • Урок 11. 00:15:48
    Coding : Creating the Image Processing Library (Part II)
  • Урок 12. 00:05:03
    Overview of Image Processing Techniques
  • Урок 13. 00:02:12
    Getting familiar with some commonly used terms
  • Урок 14. 00:03:41
    Overview of Image Processing Applications in Computer Vision
  • Урок 15. 00:04:41
    Effects of Addition and Subtraction on Images
  • Урок 16. 00:11:05
    Coding : Increasing Image Brigthness
  • Урок 17. 00:06:34
    Coding : Reducing Image Brightness
  • Урок 18. 00:04:01
    Introduction to Image Histogram
  • Урок 19. 00:02:36
    Understanding Histogram Equalization
  • Урок 20. 00:02:40
    Downloading GNU Plot
  • Урок 21. 00:02:22
    Setting Up GNU Plot
  • Урок 22. 00:05:40
    Overview of GNU Plot
  • Урок 23. 00:06:26
    Plotting Multiple Signals
  • Урок 24. 00:13:30
    Coding : Computing the Histogram of an Image
  • Урок 25. 00:18:46
    Coding : Equalizing an Image Histogram
  • Урок 26. 00:02:52
    Introduction to Adaptive Thresholding
  • Урок 27. 00:01:42
    Introduction to Geometric Operations
  • Урок 28. 00:04:00
    Mapping and Affine Transformation
  • Урок 29. 00:20:29
    Coding : Rotating Images
  • Урок 30. 00:02:06
    Introduction to Gray Level Transformation
  • Урок 31. 00:06:12
    Coding : Experimenting with the Negative Transformation
  • Урок 32. 00:03:47
    Introduction to Image Enhancement
  • Урок 33. 00:03:53
    The Filter Kernel
  • Урок 34. 00:19:29
    Coding : Blurring an Image with a Filter Kernel
  • Урок 35. 00:19:57
    Coding : Creating a Sepia filter
  • Урок 36. 00:18:04
    Coding : Detecting Lines with a Line Detector Mask
  • Урок 37. 00:04:41
    Understanding the Concept of Operators
  • Урок 38. 00:20:56
    Coding : Detecting Edges with the Prewitt Mask
  • Урок 39. 00:05:40
    Coding : Detecting Edges with the Sobel Mask
  • Урок 40. 00:06:00
    Coding : Detecting Edges with the Robinson Mask
  • Урок 41. 00:07:28
    Coding : Detecting Edges with the Kirsch Mask
  • Урок 42. 00:04:01
    Coding : Detecting Edges with the Laplacian Mask
  • Урок 43. 00:06:00
    Coding : Detecting Edges with the Robert's Mask
  • Урок 44. 00:01:47
    Introduction to Neighborhood Processing
  • Урок 45. 00:05:58
    Convolution And Correlation
  • Урок 46. 00:02:45
    Introduction to 2-D Convolution and Correlation
  • Урок 47. 00:02:10
    Introduction of Low-pass Filters
  • Урок 48. 00:19:04
    Coding : Developing the 2-D Discrete Convolution Algorithm
  • Урок 49. 00:02:10
    Introduction of Low-pass Filters
  • Урок 50. 00:07:52
    Coding : Adding Salt and Pepper Noise to an Image
  • Урок 51. 00:05:07
    Coding : Performing High-pass Spatial Filtering
  • Урок 52. 00:11:48
    Coding : Generating Gaussian Noise from an Image
  • Урок 53. 00:10:03
    Coding : Developing the Maximum Filter Algorithm
  • Урок 54. 00:07:31
    Coding : Developing the Median Filter Algorithm
  • Урок 55. 00:08:18
    Coding : Developing the Minimum Filter Algorithm
  • Урок 56. 00:03:16
    Understanding how images are formed
  • Урок 57. 00:10:36
    Understanding the mathematics of image formation
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