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Fractal active contour model for segmenting the boundary of man-made target in nature scenes

机译:分形主动轮廓模型用于分割自然场景中人造目标的边界

摘要

In this paper, a novel geometric active contour model based on the fractal dimension feature to extract the boundary of man-made target in nature scenes is presented. In order to suppress the nature clutters, an adaptive weighting function is defined using the fractal dimension feature. Then the weighting function is introduced into the geodesic active contour model to detect the boundary of man-made target. Curve driven by our proposed model can evolve gradually from the initial position to the boundary of man-made target without being disturbed by nature clutters, even if the initial curve is far away from the true boundary. Experimental results validate the effectiveness and feasibility of our model.
机译:本文提出了一种基于分形维特征的几何主动轮廓模型,用于提取自然场景中人造目标的边界。为了抑制自然杂波,使用分形维数特征定义了自适应加权函数。然后将加权函数引入到测地线活动轮廓模型中,以检测人造目标的边界。我们提出的模型驱动的曲线可以从初始位置逐渐演变到人造目标的边界,而不受自然杂波的干扰,即使初始曲线远离真实边界也是如此。实验结果验证了我们模型的有效性和可行性。

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