M.Sc.

The classification process is an important task in many application of computer image analysis for classifying images based on color or texture low-level features.In this work, a texture classification system is presented which supports querying with respect to texture low-level feature. The fundamental idea is to generate automatically image description by analyzing the image content. The underlying techniques are based on the Gray-Level Co-occurrence Matrix (GLCM) and Gray-Level Run Length Matrix (GLRLM) as statistical approaches to texture analysis.

 Text mining has become an important research issue since the explosion of digital and online text information, where data might be stored as electronic documents or as text fields in databases, text mining has increased in importance and economic value. One of the important goals in text mining is automatic classification of electronic documents.

Message Passing Interface (MPI) provides an infrastructure that enables users to build a high performance distributed computing environment from networked computers with minimum effort. It provides a common Application Programming Interface (API) for the development of parallel applications regardless of the type of multiprocessor system used. This research implements a distributed computing system called Java Message Passing Interface Middleware which supports a Message Passing Interface Application Programming Interface (MPI API).