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A robust active contour model for natural scene contour extraction with automatic thresholding

机译:具有自动阈值的自然场景轮廓提取的强大主动轮廓模型

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An active contour model is proposed for contour extraction of objects in complex natural scenes. Our model is formulated in an analytical framework that consists of a colour contrast metric, an illumination parameter and a bluring scale estimated using hermite polynomials. A distinct advantage of this framework is that it allows for automatic selection of thresholds under conditions of uneven illumination and image blur. The active contour is also initialised by a single point of maximum colour contrast between the object and background. The model has been applied to synthetic images and natural scenes and shown to perform well.
机译:提出了一种活跃的轮廓模型,用于在复杂的自然场景中的对象的轮廓提取。 我们的模型在分析框架中配制,该框架由彩色对比度量,照明参数和使用Hermite多项式估计的模糊量子组成。 该框架的明显优点是它允许在不均匀照明和图像模糊的条件下自动选择阈值。 通过物体和背景之间的单个最大颜色对比度,也可以初始化活动轮廓。 该模型已应用于合成图像和自然场景,并显示得很好。

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