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Reliability of textural analysis of ancient plasters and mortars through automated image analysis

机译:通过自动图像分析对古代灰泥和灰浆进行质地分析的可靠性

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摘要

For the study of ancient or recent plasters and mortars, it is necessary to determinate some morphological and textural parameters to describe the aggregate fraction and its relationship with binder fraction. Textural analyses are commonly performed with simple visual comparators or, at most, with a time-consuming manual point counting. The introduction of automatic or semiautomatic image analysis techniques seems to have made this kind of determinations faster and less biased, '"o compare data coming from different image-processing sequences or different analytical approaches, reliability and calibration need to be tested by each operator. A critical principle setup is presented for comparison using laboratory mortars. with well-known textural features; classical analysis by sieving, point-counting technique and automated image analysis were performed. This empirical strategy allowed (1) to develop a simple and easy-to-use software-based image analysis system for plaster and mortar samples; (2) to pull out the relations between samples textural features and reliability of the different approaches; (3) to provide linear relations that allow to convert apparent measured features to real features. Results also underline the need to calibrate and standardize image analysis techniques before data handling.
机译:为了研究古代或最近的灰泥,必须确定一些形态和质地参数来描述骨料含量及其与粘结剂含量的关系。通常使用简单的视觉比较器进行纹理分析,或者最多使用耗时的手动点计数进行纹理分析。自动或半自动图像分析技术的引入似乎使这种确定变得更快且偏差更少,比较来自不同图像处理序列或不同分析方法的数据,可靠性和校准需要由每个操作员进行测试。提出了用于实验砂浆进行比较的具有关键质地特征的关键原理设置;通过筛分,点计数技术和自动图像分析进行了经典分析,这种经验策略使(1)可以开发出一种简单易用的方法使用基于软件的图像分析系统处理灰泥和灰浆样品;(2)提取样品质地特征与不同方法的可靠性之间的关系;(3)提供线性关系,以将明显的测量特征转换为真实特征结果还强调了在数据处理之前需要校准和标准化图像分析技术。

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