Skip to content

The circle Hough Transform (CHT) is a basic feature extraction technique used in digital image processing for detecting circles in imperfect images. The circle candidates are produced by “voting” in the Hough parameter space and then selecting local maxima in an accumulator matrix. This program showcases Hough Circles usage

Notifications You must be signed in to change notification settings

Sri-Sai-Charan/Hough-Circles

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Hough-Circles

The circle Hough Transform (CHT) is a basic feature extraction technique used in digital image processing for detecting circles in imperfect images. The circle candidates are produced by “voting” in the Hough parameter space and then selecting local maxima in an accumulator matrix. This program showcases Hough Circles usage

Folder Structure:

📦Hough-Circles
 ┣ 📂Media
 ┃ ┗ 📂Q1
 ┃ ┃ ┗ 📜Q1image.png
 ┣ 📂Results
 ┃ ┗ 📜results.png
 ┣ 📜README.md
 ┗ 📜hough_circles_example.py

How To Run:

  • Navigate to the root of this package.
  • Ensure the Python file is executable
  • then enter the following:
python hough_circles_example.py

Results

1

Original Image

1

Final Result

About

The circle Hough Transform (CHT) is a basic feature extraction technique used in digital image processing for detecting circles in imperfect images. The circle candidates are produced by “voting” in the Hough parameter space and then selecting local maxima in an accumulator matrix. This program showcases Hough Circles usage

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages