Process Systems Engineering
at Louisiana State University

Project: An Integrated Framework for Online Visualization and Control of Particle Characteristics Using Advanced Image Processing Techniques

Student: J. Korath
Supervisors: J.A. Romagnoli (LSU), A Abbas (Singapore)

Of all the methods for perception, visual perception is one of the fastest and least interfering with the targets. It is based on just ‘looking’ at the object of interest, extracting information and consequently arriving at conclusions. The most rewarding applicability of such a system is in area where physical measurement is cumbersome and impractical – like microscopic, non stationary and unapproachable systems, to cite a few examples. For such systems visual characterization is a promising alternative to complex measurement systems.

The project aims at developing an image processing system with real time application prospects. Such a system can be used for visual characterization of particulate systems, online process & product quality monitoring. Rapid measurement of parameters which characterize each system (size and shape parameters in particulate system, texture in surface in paper etc), extraction of features and feeding the inference form the obtained features to process control/monitoring systems are the main components of the envisaged system. We will use different neuro-fuzzy techniques for image restoration, segmentation and feature extraction.

Back to Project List >>