Implementation of Simple Hough Circle Detection Algorithm in Python

A project based on OpenCV to detect and track the wheels of the vehicle from the side view.

Circles counter application using computer vision hough circle transform algorithm

Edge detector by Canny algorithm with Hough transform for searching lines and circles.

Detect and recognise traffic lights using Hough circle transform implemented with OpenCV and Python

Use OpenCV to do Edge Detection, detect lines and circles using Hough Transformation, and finding contours in images.

Track and follow a red circular Sun

Computer Vision Course at the University of Utah

BasicToolkit is an intuitive image-processing and computer vision app that has the feel of Photoshop. It offers a range of processing techniques built from scratch, such as filtering, equalizing, active contouring, and more.

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

Circle Detection using the Circle Hough Transform and phase coding

Hough Circles Detector implementation.

A small Python Program which uses OpenCV, PIL and Tkinter to unwarp an image, detect the coins in it, tries too gauge their values and detects an aruco marker. The program was created in July 2023 as part of university coursework. Feel free to play around with the different settings constants.