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首页> 外文期刊>Electronic Letters on Computer Vision and Image Analysis: ELCVIA >A PDE Method to Segment Image Linear Objects with Application to Lens Distortion Removal
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A PDE Method to Segment Image Linear Objects with Application to Lens Distortion Removal

机译：PDE分割图像线性物体的方法及其在镜头畸变消除中的应用

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In this paper, we propose a partial differential equation based method to segment image objects, which have a given parametric shape based on energy functional. The energy functional is composed of a term that detects object boundaries and a term that constrains the contour to find a shape compatible with the parametric shape. While the shape constraints guiding the PDE may be determined from object's shape statistical models, we demonstrate the proposed approach on the extraction of objects with explicit shape parameterization, such as linear image segments. Several experiments are reported on synthetic and real images to evaluate our approach. We also demonstrate the successful application of the proposed method to the problem of removing camera lens distortion, which can be significant in medium to wide-angle lenses. keywords: level sets, line segmentation, lens distortion
机译：在本文中，我们提出了一种基于偏微分方程的方法来分割图像对象，这些对象具有基于能量函数的给定参数形状。能量函数由检测对象边界的项和约束轮廓以找到与参数形状兼容的形状的项组成。虽然可以从对象的形状统计模型中确定指导PDE的形状约束，但我们演示了采用显式形状参数化（例如线性图像段）提取对象的方法。据报道，在合成和真实图像上进行了几次实验，以评估我们的方法。我们还演示了该方法在消除相机镜头畸变问题上的成功应用，该问题在中到广角镜头中可能很重要。关键词：水平集线段镜头变形

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