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Image analyzing method to detect vague boundaries by using reaction-diffusion system

机译:利用反应扩散系统检测模糊边界的图像分析方法

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Boundary detection is a very important procedure in the image analysis of structures. Because vague boundaries are often traced by hand in a time-consuming process, an automated boundary detection system is needed. Here, we introduce a method to detect vague boundaries by solving a reaction-diffusion system. This method makes blurry boundaries clear, even if there are irregularities in image brightness. Combining our method with ordinary image analysis methods, we are able to derive useful information from images with vague boundaries. Because the algorithm of this method depends on mathematical theory, we can apply it to different kinds of images. To confirm the effectiveness of our method, two different kinds of images were tested, those of capillaries and prior austenite grain structures. Good numerical results were achieved for both types of images.
机译:边界检测是结构图像分析中非常重要的步骤。由于通常在耗时的过程中手动跟踪模糊的边界,因此需要自动边界检测系统。在这里,我们介绍一种通过解决反应扩散系统来检测模糊边界的方法。即使图像亮度不均匀,该方法也可以使模糊的边界清晰可见。将我们的方法与普通的图像分析方法相结合,我们能够从边界模糊的图像中获得有用的信息。由于此方法的算法依赖于数学理论,因此我们可以将其应用于不同种类的图像。为了确认我们方法的有效性,测试了两种不同类型的图像,分别是毛细管图像和先前的奥氏体晶粒结构。两种类型的图像均取得了良好的数值结果。

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