摘要
利用matlab图像处理工具箱设计开发了岩石裂纹检测系统,实现了对岩石表面裂纹的识别检测以及获取裂纹面积和裂隙率两个特征参数。检测系统中图像处理分为图像预处理、裂纹提取和计算三个阶段。首先对裂纹照片进行灰度处理并滤波;然后利用扩充Sobel算子进行边缘检测,突出裂纹与背景的差别,再进行图像分割,将灰度图像变为二值图像;最后统计计算特征参数。采用该检测系统对"浸泡—风干"循环作用下巴东组第四段泥质粉砂岩裂纹扩展情况进行统计分析,结果表明:随着泥质粉砂岩"浸泡—风干"循环次数的增加,裂纹的面积和裂隙率明显增大;初期阶段裂纹的扩展速率较快,后期逐渐减缓。岩石裂纹检测系统能够直接反映裂纹的扩展情况,且操作简单、结果合理,具有较强的实用性,为裂纹扩展规律研究提供了新的手段。
Based on matlab image processing toolbox, this study develops the rock crack detection system toachieve the surface crack identification and detection of rock, and obtain the characteristic parameters ofthe crack including area and fissure percentage. Image processing of the detection system includes three sta-gesimage preprocessing, cracks extraction and calculation. Firstly, the photos of rock surface cracks （RGBimages） is transformed into the gray image and filtered Secondly, the crack edge is detected with Sobel op-erator to highlight the difference between cracks and background And then image segmentation is carriedout to make the gray-scale image become a binary image;Lastly, characteristic parameters are counted. Thispaper applies the system to summarize the pelitic siltstone crack propagation behavior in the 4th membersection of Badong formationgroup under the conditions of ＂immersion-air dry＂ circulation. The resultsshow that with the number of ＂immersion-air dry＂ circulation increasing, the crack area and fissure percent-age tend to increase significantly, and the growth rate of cracks in the initial stage is fairly fast while that inthe later period gradually slow down. Rock crack detection system is practical and reasonable to reflectcracks expanding. It can provide a new means for the study of crack propagation behavior.
出处
《安全与环境工程》
CAS
2015年第5期128-133,共6页
Safety and Environmental Engineering
基金
国家自然科学基金项目(41272306)
