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

Sobel operator

Threshold an image interactively (HSV,HSL, Sobel X/Y)

Edge detection algorithm using Sobel Operator in C

Finding Lane Lines on the Road a little better

Shape Detection System

Object Detection using multiple image manipulation techniques

Applied signal processing to dash-cam video feed to detect lane lines on the road and used numerical methods to derive approximate real-world measurements of the lane lines.

This projects attempts to edge processing in VC++ without using any libraries .

Project 4 of Term 1 in the Udacity Self Driving Car Nanodegree

advanced techniques for lane finding

Enhancing and Processing Images as per needed using Image Processing Techniques .

Third-degree Computer Engineering subject at Universitat de Barcelona

This repo includes; Image Negative, Logarithmic Transformation, Power-Law (Gamma) Transformation, Averaging Filter, Median Filter, Laplacian Filter, Sobel Gradiant, Histogram Equalization, DFT, Marr and Hildreth, Otsu Thresholding, Global thresholding

Term 1, Project 4 - Udacity Self Driving Car Nanodegree

APP Detecção de bordas utilizando o filtro Sobel em Java (Android Studio)

Java edge detection application with the possibility of using the filters: Prewit, Sobel, Roberts and Laplacian.

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

Project 2 to find lane lines for self driving car

Edge detection algorithms implemented with MATLAB, for OCT retinal layer segmentation.