OBJECT-PROCESS METHODOLOGY AND ITS APPLICATIONS TO IMAGE PROCESSING AND PATTERN RECOGNITION

Modeling of complex systems should conveniently combine structure and behavior in a single model. Motivated by this observation, Object-Process Methodology (OPM) is a comprehensive, holistic approach to modeling, study, development, engineering, evolution, and lifecycle support of systems. Employing a combination of graphics and a subset of English, the OPM paradigm integrates the object-oriented, process-oriented, and state transition approaches into a single frame of reference. Due to its structure-behavior integration, OPM provides a solid basis for modeling complex systems in general and pattern recognition systems in particular. This chapter provides an overview of OPM, its ontology, semantics, and symbols. It then describes applications of OPM in various domains with focus on image processing and pattern recognition, and concludes with a sample of a generic image processing example model.