Swarm based image analysis is a discipline, in which emphasis is on developing swarms with different rules and interactions for obtaining a specific emergent behavior, which may be used in an image analysis context. As the swarm process and results are readily visible, swarm based image analysis is an excellent discipline for obtaining a greater understanding of swarm theory. Currently there is no common way of implementing swarm algorithms for image analysis. This is unfortunate as the emergent behavior is highly sensitive to implementation details, as illustrated here by examples. In order to learn more about the behavior of swarms and share results, such a unified framework is proposed here. Although the focus will be on image analysis, the framework could serve as a basis for a more general swarm algorithm framework.
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