Abstract
Registration is the process of geometrically aligning two images taken from different sensors, viewpoints or instances in time. It plays a key role in the detection of defects or anomalies for automated visual inspection. A multiagent distributed blackboard system has been developed for intensity-based image registration. The images are divided into segments and allocated to individual agents on separate processors, allowing parallel computation of a similarity metric that measures the degree of likeness between reference and sensed images after the application of a transform. The need for a dedicated control module is removed by coordination of Distributor, Manager, and Worker agents through communication via the blackboard. Tests show that the system achieves large-scale registration with substantial speedups, provided the communication capacity of the blackboard is not saturated. The success of the approach is demonstrated in the detection of manufacturing defects on screen-printed plastic bottles and printed circuit boards.
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Tait, R.J., Schaefer, G., Hopgood, A.A. (2008). Intensity-Based Image Registration Using Multiple Distributed Agents. In: Ellis, R., Allen, T., Petridis, M. (eds) Applications and Innovations in Intelligent Systems XV. SGAI 2007. Springer, London. https://doi.org/10.1007/978-1-84800-086-5_11
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DOI: https://doi.org/10.1007/978-1-84800-086-5_11
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