This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply…
Detecting, filtering and matching geometrical features from an extraction set to the query image. Project for Superposition in collaboration with Netherlands Institute for Sound and Vision .
Programs to detect edges in Images using the Sobel filter, detect points using the Laplacian kernel, detect lines and circles using the Hough transform and detect cursors using template matching.
This is a computer vision project for solving the problem of lane detection in autonomous driving vehicles. The project uses simple thresholding based techniques in L*a*b color space. Programming has been done in C++ using OpenCV library.
