This repository contains the code to detect lanes using Hough transform

Implementing a Hough Transform on Edge Detected Image

Find the top 3 longest lines and top 3 largest regions in an input image.

Pattern Recognition and Image Processing | ISI Kolkata

Computer Vision Assignment 1: Image Cartoonifying using various image filters and Lane Detection using Hough Transform

MATLAB code to analyze drop freezing spectra from ice nucleation cold-stage measurements

Contains crude computer vision techniques with less emphasis on Deep learning

This project demonstrates the use of the Canny edge detection and Hough Transform algorithms for the real-time detection of lines on a road. OpenCV was used as the video processor.

[OpenCV] Course assignments for Computer Vision.

TrackML Particle Tracking Challenge

Lane Detection Project

Environment Detection for Self Driving Car

"Back to the drawing board" generates sketch lines from an image as if it was well thought out

Edge Detection using Hough Transform for Circles, Histogram Equalization and Histogram Matching, Image Segmantation using Spectral Clustering and Normalized Cuts (Recursive and Non-Recursive)

The first project in the Udacity Self-Driving Car Nanodegree is about implementing a pipeline that detects lane lines in images. While the pipeline is created for a single image, it can be applied to video footage by breaking the video down into frames, passing the frames through the pipeline, and then reconstructing the video.

Tracking of objects in videos

A custom computer vision pipeline, featuring manual implementations of the Canny edge detection algorithm and Hough Transform to detect important lines in images.

Finding Lane Lines On the Road

Code for the exploratory project