融合遗传算法与OSTU的岩石薄片图像分割方法研究  

Research on Segmentation Method of Rock Slice Image Based on Genetic Algorithm and OSTU

作　　者：魏雨 WEI Yu(School of Intelligent Science and Information Engineering,Xi'an Peihua University,Xi'an 710125,China)

机构地区：[1]西安培华学院智能科学与信息工程学院,陕西西安710125

出　　处：《现代信息科技》2022年第16期1-5,共5页Modern Information Technology

基　　金：陕西省教育厅科研计划项目(21JK0822);西安培华学院校级科研项目(PHKT2110)。

摘　　要：我国已进入油气资源深层次开采时代,通过岩石薄片数字图像处理来对地下深层储层进行评价描述已成为研究热点。针对现有方法对于凝胶填充不充分的溶蚀孔隙识别率差,且对于颜色接近的相邻颗粒无法准确分割的问题,在遗传算法的基础上,结合最大类间方差得到多个最优的分割阈值,然后利用多个阈值对岩石薄片图像进行分割。采用长庆油田的50张不同的岩石薄片图像对分割算法进行测试,结果表明,融合遗传算法与OSTU的岩石薄片图像分割方法的分割识别精度可达90%以上。China has entered the era of deep exploitation of oil and gas resources,and the evaluation and description of deep underground reservoirs through digital image processing of rock flakes has become a hot topic.Aiming at the problem that the existing methods have poor recognition rate of dissolved pores for insufficient gel filling,and cannot accurately segment adjacent particles with similar colors,on the basis of genetic algorithm,multiple optimal segmentation thresholds are obtained by combining the maximum interclass variance,and then multiple thresholds are used to segment rock flake images.In this paper,50 different rock flake images of Changqing Oilfield are used for experimental testing,and the experimental results show that the segmentation accuracy of the rock slice image segmentation method based on genetic algorithm and OSTU can reach more than 90%.

关 键 词：岩石薄片 图像分割 遗传算法 OSTU 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]