结构图像分析的多种群进化策略

Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence Pub Date : 1994-06-27 DOI:10.1109/ICEC.1994.350011

H. Füger, G. Stein, Uwe Stilla

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引用次数: 8

摘要

为了识别航拍图像中的物体，采用了一种基于黑板系统的特殊结构方法。参考对象用一般模型和一组实值参数来描述。为了自动适应这些参数，提出了一种采用特殊迁移形式的多种群进化策略的闭环系统。以航拍图像中的桥梁识别为例，验证了参数优化的结果。通过应用该闭环系统，减少了计算量

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Multi-population evolution strategies for structural image analysis

To identify objects in aerial images, a special structural approach, based on a blackboard system, is used. The reference objects are described with generic models and a set of real-valued parameters. To adapt these parameters in an automatical way, a closed-loop system is proposed using multi-population evolution strategies with a special form of migration. The result of the parameter optimization is demonstrated with an example of identifying bridges in aerial images. By applying this closed-loop system, a reduction of computational effort was achieved.<>

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Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence

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