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基于二维小波变换的FMI图象分割
引用本文:刘瑞林,仵岳奇,柳建华,马勇.基于二维小波变换的FMI图象分割[J].应用地球物理,2005,2(2):89-93.
作者姓名:刘瑞林  仵岳奇  柳建华  马勇
作者单位:[1]长江大学地球物理与石油资源学院,湖北荆州434023 [2]中石化西北分公司工程技术研究院,新疆乌鲁木齐830011
基金项目:The research was supported by the FifteenthNational Scientific and Technological Project (2001-BA605A-03-02).
摘    要:为了从FMI资料中定量提取参数,一个重要的步骤是从实际FMI资料中分离出反映溶孔、溶洞、裂缝的子图像。本文给出的方法,考虑图像像元邻域的特征,应用二维小波变换求出目标与背景边缘的点集,按这个边缘点集的坐标点所对应的原图像像素灰度值的平均值作为分割阈值进行图像分割。实际资料处理表明,应用这种方法可以从实际的FMI资料中准确地分割出孔洞、裂缝的子图像并且可以按深度段连续自动处理,为后续定量计算参数奠定了良好基础。

关 键 词:FMI图象分割  二维小波变换  微电阻率扫描成像测井  碳酸盐岩
收稿时间:2004-11-10
修稿时间:2004-11-102004-12-29

The segmentation of FMI image based on 2-D dyadic wavelet transform
Liu?Rui-Lin,Wu?Yue-Qi,Liu?Jian-Hua,Ma?Yong.The segmentation of FMI image based on 2-D dyadic wavelet transform[J].Applied Geophysics,2005,2(2):89-93.
Authors:Liu Rui-Lin  Wu Yue-Qi  Liu Jian-Hua  Ma Yong
Institution:(1) College of Geophysics and Petroleum resource, Yangtze University, 434023 Jingzhou, Hubei, China;(2) Institute of Engineering and Technology of Northwest Petroleum bureau, CNSPC, 830011 Urumqi, China
Abstract:A key aspect in extracting quantitative information from FMI logs is to segment the FMI image to get images of pores, vugs and fractures. A segmentation method based on the dyadic wavelet transform in 2-D is introduced in this paper. The first step is to find all the edge pixels of the FMI image using the 2-D wavelet transform. The second step is to calculate a segmentation threshold based on the average value of the edge pixels. Field data processing examples show that sub-images of vugs and fractures can be correctly separated from original FMI data continuously and automatically along the depth axis. The image segmentation lays the foundation for in-situ parameter calculation.
Keywords:FMI image  wavelet transform  image segmentation  carbonate  fractures  and vugs
本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录!
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