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Anisotropic Diffusion and Curve Evolution for Segmentation of Color Images in Cultural Heritage

机译:文化遗产中彩色图像分割的各向异性扩散和曲线演变

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We propose an innovative procedure for extracting decay regions from color images of stony materials. The use of appropriate image analysis techniques can offer an important contribution to be used together with the traditional methodologies for studying and diagnosing the decay of stony materials that constitute ancient monuments. The presented approach is constituted by the PDE (Partial Differential Equations) model of anisotropic diffusion and by the level set/fast marching method. The anisotropic diffusion is applied in order to limit the smoothing at the zones of high gradient. In the segmentation process, the numerical technique of the level set/fast marching is applied in order to extract from the image only the color region examined. The study case concerns impressive remains of the city of Aosta (Italy).
机译:我们提出了一种从石材彩色图像中提取衰减区域的创新程序。使用适当的图像分析技术可以提供与传统方法一起使用的重要贡献,用于学习和诊断构成古代古迹的石石材料的腐烂。所提出的方法由PDE(偏微分方程)模型的各向异性扩散和通过水平设定/快进行进方法构成。施加各向异性扩散以限制高梯度区域的平滑。在分割过程中,应用了水平设置/快进行进的数值技术,以便仅从图像中提取检查颜色区域。研究案例涉及奥斯塔市(意大利)的令人印象深刻的遗迹。

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