使用目标识别任务的边缘检测器的比较

Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops Pub Date : 1999-06-23 DOI:10.1109/CVPR.1999.786964

M. Shin, Dmitry Goldgof, K. Bowyer

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引用次数: 45

摘要

本文提出了一种利用目标识别任务评估边缘检测算法的方法和结果。使用了一个由37张真实图像组成的数据集，其中包含5种不同的吉普车状车辆。用ROC曲线分析对5种边缘检测器进行了比较。海格探测器给出了最好的结果。这项工作正在扩展，以包括更多的图像和训练-测试式评估。

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Comparison of Edge Detectors Using an Object Recognition Task

This paper presents a methodology and results of evaluating edge detection algorithms using an object recognition task. A dataset consisting of 37 real images with 5 different jeep-like vehicles is used. Five edge detectors are compared using ROC curve analysis. The Heitger detector gives the best results. The work is being extended to include more images and a train-and-test style evaluation.

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Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops

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