如何测量图像分割算法的准确性? [英] How to measure accuracy of image segmentation algorithm?

问题描述

我想知道可以用来衡量我的图像分割算法准确性的可能措施

I want to know the possible measures that can be used to measure the accuracy of my image segmentation algorithm

我知道以下方法:

• 敏感性
• 特异性
• 骰子索引
• Jaccard索引

但是我正在处理需要测试的大型数据集，因此我认为使用每个像素值测量精度不太合适. 因此，我正在寻找其他更方便的措施.

But I am working with large data set that needs to be tested, So I think measuring accuracy with each pixel value will not be very suitable. So, I am looking for other more convenient measures.

P.S:我有基本的事实数据

P.S: I have ground truth data

推荐答案

图像分割中的准确性"问题定义不明确，从而导致许多可能的度量标准不一定彼此一致(例如，分割A一个指标可能比细分B更好，而另一指标则可能相反.

The question of "accuracy" in image segmentation is ill-defined, resulting in a number of possible metrics that will not necessarily agree with each other (e.g. segmentation A may be better than segmentation B for one metric and the reverse may be true for a different metric).

作为起点，本文讨论了20种不同的可能的图像分割指标，可以作为您提出可以使用的可能措施"要求的起点.您使用哪种指标取决于您要细分的内容以及打算如何使用该细分.

As a starting point, this paper discusses 20 different possible image segmentation metrics which could act as a starting point for your request of "possible measures that can be used". Which metric you use will be dependent on what you're segmenting and how you intend to use that segmentation.

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