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关于图象分割性能评估的评述

狄宇春1, 邓雁萍1(上海交通大学图象处理与模式识别研究所,上海 200030)

摘 要
概述了图象分割性能评估发的发展,总结了分割性能评估的基本理论框架:确定图象分割性能评估指标,构造评估测试图象集,评估模型与实验分析,以及分割性能评估的常用方法:统计法,基于AI的方法和混合法。对评估模型的设计作一些尝试性的探讨。
关键词
Review of the Performance Evaluation of Image Segmentation

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Abstract
The Progress of the research of evaluating image segmentation algorithms is discussed in this paper.First,three basic theoretical frameworks,which form the important research contents of evaluation are reviewed and classified as follows: Image metrics,Testing image set,Performance evaluation and analysis of experiments.Then,the evaluation methods of image segmentation are summarized: Statistical approaches,Analytical approaches,AI based evaluation,Hybrid approaches.Finally,The comprehensive evaluation model,a new idea and way to comprehensive evaluating of image segmentation is discussed.
Keywords

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