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The performances of the Laplacian of binomial distribution and the discrete Laplacian of Gaussian edge detection operators

机译:高斯边缘检测运营商的二项式分布和离散拉普拉斯的拉普拉斯的性能

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This paper presents a performance analysis and comparison between the Laplacian of binomial distribution (LOB) and the discrete Laplacian of Gaussian (DLOG) edge detection operators in the space domain and frequency domain. When the scale space constants of the two edge detection operators are large enough, the characteristics in space domain and frequency domain and performances in image detection are almost the same. But when the scale space constants are smaller, the conclusion can be made that the performances of the LOB operator are little better than that of the discrete LOG operator after comparisons of central frequency, 3 dB bandwidth and high frequency attenuation rate at cut off frequency in the frequency domain. The LOB operator may be considered as a discrete realization of LOG operator. Results of experiments are given to verify the correctness of analysis.
机译:本文介绍了空间域和频域中的高斯(DLOG)边缘检测运算符的二项式分布(LOB)和离散拉普拉斯之间的性能分析和比较。当两个边缘检测操作员的刻度空间常数足够大时,空间域和频域中的特性以及图像检测中的性能几乎相同。但是,当刻度空间常数较小时,结论可以使得LOB运算符的性能在中央频率,3dB带宽和高频衰减率的比较之后的离散日志操作员的性能较小频域。 LOB运算符可以被认为是日志操作员的离散实现。实验结果得到验证分析的正确性。

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