应用图切割算法来检测板中的食物 [英] Applying graph cut algorithm to detect food in a plate

问题描述

我是学生。我的主管问我一个项目，使用图切割算法检测食物。

I'm a student. my supervisor asked me for a project to detect a food using graph cut algorithm.

我知道分割和标记是图割法的应用。
但是当我在网上搜索时，我只找到有关算法的基本信息。我需要更多的细节，以便我可以从头开始编写代码。

I know that segmentation and labeling are the application of graph cut algorithm. But when i search the web, i find only the basic information about the algorithm. I need more details so that i can write the code from scratch. Can anyone help me with a good tutorial about that ?

推荐答案

您可以找到原始的图纸应用图切割方法来图像分割此处。 这里是一个教程，检查图表切割和水平集，两种最流行的分割方法目前存在。作为一个学生，你应该多做一些研究的问题，并尝试一些事情之前，请求帮助你解决它。

You can find the original paper applying the graph cut methodology to image segmentation here. Here is a tutorial examining graph cuts and level-sets, two of the most prevalent segmentation methods currently existing. As a student, you should probably do a little more research into the problem and try some things out before asking SO to help you solve it.

最后，我不确定为什么你用OpenCV标记这篇文章，但是如果你不知道：OpenCV有一个基于图像切割的图像分割算法实现，称为 GrabCut 。

Lastly, I am unsure why you tagged this post with OpenCV, but in case you were unaware: OpenCV has a graph cuts based image segmentation algorithm implemented called GrabCut.

编辑：此外，这里是一个很好的教程，使用OpenCV进行自己的基于图切割的图像分割

Also, here is a pretty good tutorial on making your own graph-cuts based image segmentation using OpenCV

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