Research and implementation of parallel algorithm for graph-based image segmentation

A parallel solution of the graph-based method is proposed to improve the segmentation speed. In this solution, the similarity computation is parallelized by means of grid partition. And a parallel Lanczos algorithm is designed to compute the eigenvalues in view of the sparseness of the similarity matrix and the inner parallelism of matrix-vector multiplication. The experimental results under MPI environment show that the parallel solution effectively improves the real-time performance of the graph-based segmentation method.