The segmentation of FMI image based on 2-D dyadic wavelet transform

被引：3

作者：

Rui-Lin Liu

Yue-Qi Wu

Jian-Hua Liu

Yong Ma

机构：

[1] Yangtze University,College of Geophysics and Petroleum resource

[2] CNSPC,Institute of Engineering and Technology of Northwest Petroleum bureau

来源：

Applied Geophysics | 2005年 / 2卷 / 2期

关键词：

FMI image; wavelet transform; image segmentation; carbonate; fractures; and vugs;

D O I：

10.1007/s11770-005-0039-z

中图分类号：

学科分类号：

摘要：

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.

引用

页码：89 / 93

页数：4

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