摘要
针对传统的小河坝组砂岩储层稀土元素特征的识别算法存在过多干扰特征点的问题。提出一种三维图像识别算法模拟。在进行河坝组砂岩储层稀土元素特征重建的过程中,将Harris角点作为稀土元素特征三维图像痕迹的特征点,引入小波变换模位置的变换点作为三维图像的基元,利用纹理线段的端点由粗到细对特征点进行匹配和提取,并利用盒滤波加速的方法特征点的重新排列,大幅降低冗余特征点的干扰,利用该方法进行湖北小河坝组砂岩储层稀土元素特征的三维图像的识别,能够得到稀土元素特征的精确信息,干扰特征点大幅度减少。
Recognition algorithm for the Xiaoheba formation sandstone reservoir characteristics of rareearth elements existing in the traditional feature point problem of excessive interference.A threedimensional image recognition algorithm is proposed.In the process of Xiaoheba formation sandstonereservoir characteristics of rare earth elements in the reconstruction,the Harris corner points as featurepoints of rare earth elements,3D image traces the introduction of wavelet transform modulus transformpoint position as basic element of3D image,the feature point matching and extraction from coarse to finetexture using endpoint segment,improvement and by using the box filtering acceleration rearrangefeature point trajectories,greatly reduce the interference of redundant feature points,3D imagerecognition of Hubei Xiaoheba formation sandstone reservoir characteristics of rare earth elements byusing this method,accurate information can get the characteristics of rare earth elements,interferencefeature points significantly reduced.
作者
贺体刚
He Tigang(Jingchu University of Technology,Jingmeng Hubei 448000,China)
出处
《科技通报》
北大核心
2017年第4期64-67,96,共5页
Bulletin of Science and Technology
关键词
稀土元素
三维图像
识别算法
rare earth element
3D image
recognition algorithm
作者简介
贺体刚（1979-），男，河南潢川，博士，讲师，主要研究计算机程序设计，地理信息。
