Advanced Lane Finding (project 2 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

An implementation of canny edge detector from scratch.

Use of the different operators of the Edge function in Matlab R2019b and the proposal of an own one

Borde is a GPU-accelerated edge detection app written in C++ and CUDA. It is designed to be fast, easy to use, and easy to integrate into existing projects. Borde is licensed under the MIT license.

Лабораторная работа по теме «Фильтрация фотоизображения. Подавление шумов на фотографиях» по дисциплине «Компьютерная графика»

Image Processing tasks done with opencv

Edge Detection algorithm has been implemented without using any image processing library.

The program convolves a specified image with the Sobel operator to highlight edges.

Minimal Image Library for Computer Vision - Sobel and Prewitt edge methods example for Netpbm images

using traditional computer vision techniques to detect vehicles on the road for self driving cars

Implementation of Computer Vision Algorithms

ImageContrastEnhancement is a demonstration of the capabilities of convolutional genetic algorithms in image processing, specifically in the area of contrast enhancement.

Easy to use edge detection library using canny edge detection algorithm and sobel operators, with some other utilities to remove boiler-plate code for applications.

Program in C to apply a filter to an image. CS50 Problem Set 4.

using traditional computer vision techniques to detect lane lines for self driving cars

Detecting and coloring edges according to their direction using NxN kernel convolutions implementation.

This repository contains the implementation of Image Processing Benchmarks running on Arm Cortex-A9 processor available in Xilinx Zynq 7000 SoC on Avent Zedboard.

An Image Triangulizer

Edge detection algorithm using Sobel Operator in C

Edge detection hw from multimedia course in NCKU 2019.5