A high accuracy, landmark-based, sub-pixel level image registration method

Vaidyanath, Sreeram; Acosta, Eric

doi:10.1016/j.ics.2005.03.175

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Feature-based registration [5] is only as accurate as the initial selection of landmarks. In contrast, intensity-based registration methods [6] use all data within an image.…”

Section: Introductionmentioning

confidence: 99%

Intensity-Based Image Registration Using Multiple Distributed Agents

Tait

Schaefer

Hopgood

2008

Applications and Innovations in Intelligent Systems XV

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. (2008). Intensitybased image registration using multiple distributed agents. 21 (3), 256-264. Copyright and re-use policy AbstractRegistration 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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“…Feature-based registration [5] is only as accurate as the initial selection of landmarks. In contrast, intensity-based registration methods [6] use all data within an image.…”

Section: Introductionmentioning

confidence: 99%