各向异性扩散滤波的启发式参数化

2018 37th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2018-11-01 DOI:10.1109/SCCC.2018.8705235

P. González, Philip Vasquez, B. Alcaino, R. J. Barrientos, M. Mora, F. Tirado, C. Tauber

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引用次数: 0

摘要

进化计算的方法允许在一个候选集合的解空间中设置最优值。在这项工作中，我们使用进化方法，对具有加性噪声的退化图像进行各向异性扩散滤波器的最优参数设置。实验显示了进化方法优化参数化的潜力，其目的是评估滤波器的性能，应用于一组具有控制条件和已知基真值的退化图像。

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Heuristic parametrization of anisotropic diffusion filtering

The methods of evolutionary computation allow to set optimal values in a space of solutions from a candidate set. In this work, we have used evolutionary methods, for optimal parameters setting of the anisotropic diffusion filter in degraded images with additive noise. The experiments show the potential of the evolutionary methods to optimize the parametrization, with the objective of evaluating the performance of filters, applied on a set of degraded images with controlled conditions and a known ground truth.

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2018 37th International Conference of the Chilean Computer Science Society (SCCC)

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