Evolutionary Platform for Retargetable Image Processing Applications

This work presents a cognitive information §processing on an evolutionary platform for §retargetable applications such as facial image §recognition, image feature extraction, evolvable §filters, and environmental information tracking. §Cognitive processing can process multiple-sensory §information on an automated system such as an §unmanned vehicle or a surveillance unit in a remote §site to avoid harsh terrain. Evolutionary platform §supports the ability to change information §processing behavior to comply with ever changing §environment in order to accomplish a mission §objective. The cognitive processing model can §overcome particular difficulties to traditional §search, exploration, and engineering decision making §applications. The proposed cognitive strategies §emphasize the decomposition of multi-sensory §information, the re-construction of internal §representations, and the cognitive processing of §combined information which yield sub-optimal §solutions and indicate best local system direction. §Several applications, such as facial image §recognition and digital signal processing, are used §to verify our models and compare them with other §well-known approaches.