基于紫外光图像的岩石裂隙骨架抽取

Rock fracture skeleton extract based on ultraviolet image

利用数字图像技术对基于紫外光的岩石裂隙图像进行裂隙骨架抽取。首先对岩石裂隙图像进行噪声滤除、图像分割、空腔填充、短枝去除等图像处理操作,然后在分析了骨架特性和骨架抽取算法的基础上提出了基于结构元素的逐层细化算法。经实验得知,该算法可以高效地抽取较理想的岩石裂隙骨架,且算法稳定,行之有效。

To extract skeleton based on ultraviolet rock fracture image using digital image processing technique, it needs to pretreat the rock fracture image first by image processing operation such as noise filtering, image segmentation, cavity filling, spur removal etc. Then an algorithm based on the structural elements of the layers thinning was proposed on the basis of the analysis of the skeleton characteristic and the skeleton of extraction algorithm. This algorithm can extract rock fractures of the skeleton very well. The experimental results show that the algorithm can extract a better skeleton of rock fracture efficiently and steadily.