一种基于块分割特征匹配的岩体动态裂缝检测算法

A Rock Dynamic Fracture Detection Algorithm based on Block Segmentation Feature Matching

为了提高冶金矿井坍塌事故预警能力,提出了一种岩体动态裂缝检测算法。根据岩体表面纹路的特殊性质,设计了一种逐行滑动邻域取最小值的图像分割方法用于提取特征区域,并提出采用块分割特征匹配方式提高动态裂缝检测的准确性。实验结果表明,该算法能够有效地检测出岩体裂缝的动态变化。

To improve the early warning capability of the collapse accidents in metallurgy mine,a rock dynamic fracture detection algorithm was put forward.According to the special characteristics of the surface texture of rock mass,a image segmentation method of taking minimum value by progressive sliding neighborhood was designed for extraction of feature region,and a mode of block segmentation feature matching was proposed to improve the detection accuracy of dynamic fracture.The result of experiments showed that this algorithm can effectively detect the dynamic variation of rock fracture.