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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >A higher-order active contour model of a 'gas of circles' and its application to tree crown extraction
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A higher-order active contour model of a 'gas of circles' and its application to tree crown extraction

机译:“圆气”的高阶主动轮廓模型及其在树冠提取中的应用

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摘要

We present a model of a 'gas of circles': regions in the image domain composed of a unknown number of circles of approximately the same radius. The model has applications to medical, biological, nanotechnological, and remote sensing imaging. The model is constructed using higher-order active contours (HOACs) in order to include non-trivial prior knowledge about region shape Without constraining topology. The main theoretical contribution is an analysis of the local minima of the HOAC energy that allows us to guarantee stable circles, fix one of the model parameters, and constrain the rest. We apply the model to tree crown extraction from aerial images of plantations. Numerical experiments both confirm the theoretical analysis and show the empirical importance of the prior shape information.
机译:我们提出了一个“圆气”模型:图像域中的区域由未知数量的近似相同半径的圆组成。该模型可应用于医学,生物学,纳米技术和遥感成像。该模型是使用高阶活动轮廓线(HOAC)构造的,目的是在不限制拓扑的情况下包含有关区域形状的重要知识。理论上的主要贡献是对HOAC能量的局部最小值的分析,这使我们能够保证稳定的圆,确定模型参数之一并约束其余参数。我们将该模型应用于从人工林空中影像中提取树冠。数值实验证实了理论分析并显示了先验形状信息的经验重要性。

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