Computer Vision Algorithm Implementaion and Tutorial

Descrption:

NOTE: This project include algorithm implementaion form scratch, " NOT " using OpenCV functions!

The tutorial is from OpenCV documentation with my personal implementation, description and mathematical explanation.

Below are the Outlines and Quick Links for this tutorial. Thank You!

Basic Operation

1. Image and Video I/O

Core Operation

1. Image ROI
2. Image Padding
3. Image Blending
4. Bitwise Operation

Image Processing

1. Changing Colorspace

2. Image Thesholding

3. Image Transformation

   • Geometric Transformations (include)
   • Morphological Transformations (include)
   • Fourier Transform (ToDo)

4. Image Filtering

   • (Implementaion) Median Filter

5. Image Gradients

6. Canny Edge Detection

   • (Implementaion) Canny Edge Detection

7. Image Pyramids

   • (Implementaion) Image Blending Using Image Pyramid

8. Image Contours

   • Contour Feature (include)
   • (Implementaion) Convex Hull

9. Image Histogram

   • (Implementaion) Histogram Equalization
   • 2D Histogram and Histogram Backprojection (Reference Link)

10. Image Matching (Template Matching)

    • (Implementaion) Template Matching by Using "Normalized Cross Correlation"

11. Hough Line Transform

    • (Implementaion) Hough Transform for Line Detection
    • (Implementaion) Hough Line Transform - Improve Table Detection

12. Hough Circle Transform

    • (Implementaion) Hough Circle Transform - Improve Ball Detection

CONTINUE...

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Reference & Acknowledgments

OpenCV-Python Tutorial: https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html

Contact (Hank)

[email protected]