太赫兹科学与电子信息学报Issue(2)：272-275,4.DOI:10.11805/TKYDA201402.0272
基于渗流模型的成像测井裂缝提取算法
Extraction algorithm of imaging well logging crack based on percolation model
摘要
Abstract
Most image segmentation algorithms for extraction of the imaging well logging crack are ineffective because of the complex composition and noises. A new extraction algorithm for imaging well logging crack based on percolation model is proposed. The algorithm uses the continuity of the crack pixels as the basis for extraction, and a linear seepage area that is closely related to the initial pixel is generated through the gradual percolation of the initial pixel. Then, by calculating the percolation parameters of the pixels in percolation area to determine whether the current pixel is the target of the crack. Experimental results show that the proposed algorithm can effectively suppress noises and remove holes and other substances, as well as can extract cracks accurately in complex imaging well logging images.关键词
渗流模型/成像测井/裂缝/渗流参数Key words
percolation model/imaging well logging/cracks/percolation parameter分类
信息技术与安全科学引用本文复制引用
韦宇飞,吴晓红,袁传虎,刘如奎..基于渗流模型的成像测井裂缝提取算法[J].太赫兹科学与电子信息学报,2014,(2):272-275,4.基金项目
国家自然科学基金资助项目(60972130) （60972130）
