GSoC/GCI Archive
Google Summer of Code 2013 Python Software Foundation

scikit-image: Segmentation Algorithms as a basis for an OpenCL feasible study

by Marc de Klerk for Python Software Foundation

Image segmentation algorithms, specifically Graph-cut are a top priority for inclusion in scikit-image. Additionally, although the barrier to entry for GPU computing how lowered significantly and image-processing being a natural application of GPGPU, the scikit-image project has remained a CPU-only library. This project aims to conduct a feasible study for the inclusion of OpenCL by comparing the performance of CPU and GPU versions of the segmentation algorithms Graph-cut, Grow-cut and QuickShift