基于经验ROC曲线的边缘检测器评价

Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149) Pub Date : 1999-06-23 DOI:10.1109/CVPR.1999.786963

K. Bowyer, C. Kranenburg, Sean Dougherty

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引用次数: 412

摘要

提出了一种利用接收机工作特性曲线评价边缘检测器性能的方法。它包括将边缘匹配到手动指定的基础真值，以计算真阳性和假阳性检测。在不同的图像上对边缘检测器参数设置进行训练和测试，并对两组10幅图像进行聚合测试ROC曲线。比较了八种不同边缘检测器的性能。Canny和Heitger探测器提供了最好的性能。

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Edge detector evaluation using empirical ROC curves

A method is demonstrated to evaluate edge detector performance using receiver operating characteristic curves. It involves matching edges to manually specified ground truth to count true positive and false positive detections. Edge detector parameter settings are trained and tested on different images, and aggregate test ROC curves presented for two sets of 10 images. The performance of eight different edge detectors is compared. The Canny and Heitger detectors provide the best performance.

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Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)

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