A Distributed Image Processing Function Set for an Image Mining System

Abstract

An Image Mining System (IMS) requires real time processing often using special purpose hardware.
The work herein presented refers to the application of cluster computing for on line image processing inside an IMS, where the end user benefits from the operation on data with a high degree locality and parallelism. The virtual parallel computer is composed by a cluster of personal computers connected
by a low cost network. The aim is to minimise the processing time of a high level image processing package. The image processing function set developed to manage the parallel execution is described and some results obtained from the parallelisation of image processing algorithms are discussed.