为了解土体干缩裂隙演化规律, 基于MATLAB软件开发了裂隙图像分析系统, 通过对裂隙图像进行二值化、桥接去杂、骨架提取等操作, 进而提取出裂隙率、裂隙长度、平均宽度、隙宽分布率、分维等裂隙形态参数, 实现了平面裂隙图像的无损、连续、动态识别和形态参数定量分析。该裂隙网络图像分析程序为土体干缩裂隙的动态演化分析提供了依据, 可用于边坡稳定性分析、环境污染控制等众多领域。
Abstract
In order to find out the evolvement regularity of surface cracks in soil due to drying shrinkage, an analysis system of crack’s parameters was developed by using MATLAB. Through binarization, crack restoration, noise reduction and skeleton extraction, the morphological parameters of cracks, such as crack rate, length, width, width grading and fractal dimension, were computed by further recognition methods. Through this system, the non-destructive, continuous and dynamic recognition of cracks, as well as the rapid and accurate quantitative analysis of morphological parameters were achieved. Moreover, this system offered a reliable basis for the analysis of dynamic evolvement of cracks. It can be used in slope stability analysis, environmental pollution-control and many other areas.
关键词
裂隙 /
形态参数 /
二值化 /
图像识别 /
隙宽分布率
Key words
crack /
morphological parameter /
binarization /
image recognition /
crack width grading
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参考文献
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基金
国家自然科学基金资助项目(41372359)
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