Describes a wide range of algorithms for parallel digital image processing and computer vision, giving an overview of the state of the art. Attention is focused on a key applications domain that includes medical imaging, visualization, remote sensing, and HDTV, allowing comparative studies of the various approaches. There is a detailed discussion of the parallel implementations of neural networks, with emphasis on the algorithms developed for that purpose. Annotation copyright Book News, Inc. Portland, Or.
World-renowned contributors present papers concerning algorithms used on the latest generation of parallel machines (MIMD). Details key applications running the gamut from medical imaging, visualization and remote sensing to HDTV, demonstrating the large computational complexity necessary to perform these tasks.
