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Contour Detection and Completion for Inpainting and Segmentation Based on Topological Gradient and Fast Marching Algorithms

机译:基于拓扑梯度和快速行进算法的修复与分割轮廓检测与补全

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摘要

We combine in this paper the topological gradient, which is a powerful method for edge detection in image processing, and a variant of the minimal path method in order to find connected contours. The topological gradient provides a more global analysis of the image than the standard gradient and identifies the main edges of an image. Several image processing problems (e.g., inpainting and segmentation) require continuous contours. For this purpose, we consider the fast marching algorithm in order to find minimal paths in the topological gradient image. This coupled algorithm quickly provides accurate and connected contours. We present then two numerical applications, to image inpainting and segmentation, of this hybrid algorithm.
机译:在本文中,我们结合了拓扑梯度(一种用于图像处理中边缘检测的强大方法)和最小路径方法的一种变体,以查找相连的轮廓。与标准梯度相比,拓扑梯度对图像的分析更具全局性,并可以识别图像的主要边缘。几个图像处理问题(例如,修复和分割)需要连续的轮廓。为此,我们考虑使用快速行进算法以在拓扑梯度图像中找到最小路径。这种耦合算法可快速提供准确且相互连接的轮廓。然后,我们介绍了此混合算法在图像修复和分割上的两个数值应用。

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