Marr-Hildreth边界检测器定位性能分析
Marr-Hildreth Edge Detector Location Error
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摘要: 本文分析了Marr-Hildreth边界检测器(-△2G)在检测图象中的阶跃(step)边界时产 生定位误差的三个原因,即由于侧向曲率、高斯滤波和噪声干扰带来的影响.首先导出了拉普 拉斯、二阶梯度方向导数和侧向曲率三者之间的关系式,指出由于侧向曲率的影响,拉普拉斯 在检测弯曲边界时必然产生定位误差.依据按曲率分段逼近阶跃边界的模型,给出了误差的 定量分析.最后解释了高斯滤波和噪声干扰对定位的影响.Abstract: In the paper, the curvature of the line of level crossings of a surface as a description to the surface is introduced. The relation between the level crossing curvature and the Laplacian is derived and, by the relation, we analyse the location errors of the Laplacian when detecting bending step edges. Our results show that the level crossing curvature can cause location error of the Laplacian, particularly when the edges with large curvatures and small gradients. Thus there are three reasons for the location errors of the Marr-Hildreth edge detector, that is, the level crossing curvature, Gaussian filtering, and noise.
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Key words:
- Image analysis /
- edge detection /
- curvature computation
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