The image analysis group is responsible for the research, development, assessment, and integration of computer vision algorithms into diversified environments. To date, these techniques have been integrated into hydrodynamic experiments to characterize bubble distributions, conventional sonar signal processing to discriminate targets in a cluttered environment, and IR thermography for conditioned-based maintainance of rotating machinery. However, current research efforts address the implementation of a synthetic retina function. The goal is to develop artificial vision through multi-agent systems.
Object recognition is accomplished using a distributed processing approach.
System components consist of a multi-agent simulation environment, internal communication protocol, and a learning and feedback paradigm. Future research efforts are tied in with the agriculture department and are related to identification and tracking of mushroom distributions and surface defect description of apples. Current research efforts address the implementation of a synthetic retina function.