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首页> 外文期刊>Journal of Computing in Civil Engineering >Automated Color Model-Based Concrete Detection in Construction-Site Images by Using Machine Learning Algorithms
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Automated Color Model-Based Concrete Detection in Construction-Site Images by Using Machine Learning Algorithms

机译：基于颜色模型的机器学习算法自动检测施工现场图像

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摘要

Concrete structural component detection in color images is a key pre-process in various applications such as construction progress measurement, structural health monitoring, and three-dimensional as-built modeling. The goal of this research was to identify an automated color model-based concrete detection method that (by using a machine learning algorithm) can detect concrete structural components in color images with a high level of accuracy. A data set consisting of more than 87 million pixels was generated from 108 images of concrete surfaces with a variety of surfaces. Transformations from the RGB color space to non-RGB color spaces were performed to increase separability between concrete and background classes and to achieve robustness to changes in illumination. To find the optimal combination of color space and machine learning algorithm, the performance of three machine learning algorithms (e.g., a Gaussian mixture model, an artificial neural network model, and a support vector machine model) in two non-RGB color spaces (e.g., HSI and normalized RGB) was comparatively analyzed. The comparison showed that the combination of the support vector machine algorithm and the HSI color space is superior in detecting concrete structural components in color images, compared with the other five algorithm-color space combinations. Performance was validated by experiments run on various images of actual construction-site scenes.
机译：彩色图像中混凝土结构成分的检测是各种应用中的关键预处理，例如施工进度测量，结构健康监测和三维竣工建模。这项研究的目标是确定一种基于颜色模型的自动化具体检测方法，该方法（通过使用机器学习算法）可以高精度地检测彩色图像中的混凝土结构成分。从具有各种表面的108个混凝土表面图像中生成了一个包含8700万像素的数据集。进行了从RGB颜色空间到非RGB颜色空间的转换，以增加混凝土和背景类别之间的可分离性，并实现对照明变化的鲁棒性。为了找到色彩空间和机器学习算法的最佳组合，需要在两个非RGB色彩空间（例如，高斯混合模型，人工神经网络模型和支持向量机模型）中使用三种机器学习算法，HSI和归一化RGB）进行了比较分析。比较表明，与其他五个算法-颜色空间组合相比，支持向量机算法和HSI颜色空间的组合在检测彩色图像中的混凝土结构成分方面具有优势。通过对实际施工现场场景的各种图像进行的实验验证了性能。

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