GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

Kernel-Based Hough Transform for Detecting Straight Lines in Images

The main objective of this project is to design a system using Open CV that can detect lane lines and estimate vehicular offset value with the help of lane curvature.

Implement hough transform for line detection

From an almost fully 3D printed chassis, to sign detection using Yolo, FrostAV provides a broad and multifaceted source of inspiration for your own autonomous vehicle project.

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

DeepSee is an image processing project that applies advanced spatial and frequency domain techniques for filtering, segmentation, boundary detection, and facial recognition. It features a responsive GUI with multiprocessing, multithreading, and both dark and light modes.

Visual environmental perception methods for autonomous road vehicles using semantic segmentation to discover drivable surfaces, lane boundaries, and distances to dynamic and static objects

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

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

A Model used to identify walls coordinates from the images

Lane finding algorithm using Hough line detection