How to measure accuracy of image segmentation algo

Question

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

I know the following methods:

• sensitivity
• specificity
• Dice index
• Jaccard index

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: I have ground truth data

Answer 1

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).

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.