本文对图象分割评价，特别是评价方法和评价准则的进展，作了一个综述，现已提出的多数分割评价方法可分为直接法和间接法，直接法研究分割算法本身，面间接法根据分割图象来评价算法的性能。直接法和间接法都需要借助一定的评价准则来进行。本文对已提出的各种准则进行了分类与分析比较，并对常用的评价准则进行了实验比较，通过分析其性能表现排出了它们的优劣次序。本研究为在实际中正确地应用不同的评价方法提出了依据并指出了若干进一步研究的方向。

This paper reviews the research progress on image segmentation evaluation,especially on evaluation methods and evaluation criteria. Most evaluation methods proposed so far can be categorized into direct methods and indirect methods. The direct methods study segmentation algorithms themselves while indirect methods evaluate the performance of algorithms according to the quality of segmented images. Both direct methods and indirect methods need certain evaluation criteria for performing evaluation tasks. This paper makes a classification of different existing criteria and provides an analytical comparison about these criteria. In addition,for most commonly used evaluation criteria,an experimental comparison has been carried out. A rank of these criteria has been obtained through the analysis of their performance and behavior.This study provides a useful basis for correctly applying different evaluation methods in practical applications and indicates several further research directions.