Parallel wavelet-based image segmentation using MPI

In recent years how to speed up the process of the large images segmentation emerges as an important problem to us. In this paper, we propose a novel wavelet-based approach combined with FCM cluster methods in the large images segmentation. Considering that wavelet-based image segmentation often has very high computational complexity, especially for large images, we put emphasis on exploring the computational parallelism in wavelet-based image segmentation and implement a parallel wavelet-based image segmentation using MPI on cluster machines with the better segmentation rate.