孔隙结构图像分析方法及其在岩石图像中的应用

Image Analysis Method of Pore Structure and Its Application in Rock Image

提出了一套分析岩石图像中孔隙结构的方法,该方法综合应用数学形态学、数字图像处理学与计算机图形学等学科的知识,解决了孔隙结构分析中的去除噪声、提取孔隙、识别喉道、计算孔喉属性数据等问题,获取面孔率、喉道半径、配位数等孔隙结构参数,并绘制孔隙面积频率分布直方图。在识别喉道和计算孔喉属性数据时,提出了一种新的解决思路,使得计算速度更快、计算结果更加准确。该算法可应用于岩石颗粒分析等相关研究。大量实际应用表明,该方法准确度高、速度快、对噪声不敏感,具有极好的抗干扰能力。

A set of method used for rock pore image analysis is presented in this paper.Using knowledge of multi-discipline which involves mathematical morphology,digital image processing and computer graphics etc.,the method solves multiple problems in pore structure image analysis including how to remove image noise,extract pores,identify throats,calculate pore and throat attributes etc.,consequently obtaining porosity,throat radius,the coordination number and other pore structure parameters,and finally drawing the pore area frequency distribution histogram.A new solution is proposed in recognition of throat and calculation of pore throat attributes,which makes the calculation speed faster and results more accurate.The algorithm can also be applied to the analysis of rock particles and other related research.It has been proven by various practical applications that this algorithm is relatively accurate,rapidly executed,and insensitive to noise.In effect,the algorithm has excellent anti-noise ability.