In this project, we are comparing the performance of the Generalized Hough Transform (GHT) algorithm in serial and parallel (using MPI). The original code from the author is presereved so for further work on the project, the Cuda implementation will also be applied.
This repository is under development.
This project is licensed under the MIT License. The original work by vivienmetayer is available under the MIT License. See the LICENSE file for more information. Modifications by Seyedkourosh Sajjadi are also licensed under the MIT License. See the NOTICE file for more information.
The first phase involves preprocessing the input image and template image, including steps like edge detection and gradient calculation, which are key to the GHT process.