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
收藏
页码：89 / 93
页数：4
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