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A discrete particle swarm optimisation algorithm for geographical map contour reconstruction

机译:离散粒子群优化算法的地理轮廓线重构。

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Nowadays, map images are widely used for many applications. To be well exploited, theses maps generally need a contour extraction operation. However, gaps may result from this phase, which would give rise to the need for reconstructing the missing parts. Map-contour gaps can be caused from low-maps quality or from the contour extraction process. This problem cannot be dealt with simple traditional contour extractors when these gaps are relatively large. This paper proposes a discrete PSO for damaged contour matching in geographical maps. The proposed approach has been validated by applying it on a set of genuine maps.
机译:如今,地图图像已广泛用于许多应用程序。为了得到充分利用,这些地图通常需要轮廓提取操作。但是,此阶段可能会产生差距,这将导致需要重建缺失的部分。地图轮廓间隙可能是由于地图质量低下或轮廓提取过程引起的。当这些间隙相对较大时,用简单的传统轮廓提取器无法解决该问题。本文提出了一种离散PSO,用于地理地图中受损轮廓的匹配。通过将其应用于一组真实地图上,已验证了所提出的方法。

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