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
相关论文
共 50 条
[31]   Noisy image segmentation based on wavelet transform and active contour model [J].
Chen, Bo ;
Chen, Wen-Sheng .
APPLICABLE ANALYSIS, 2011, 90 (08) :1243-1255
[32]   2-D discrete wavelet transform implementation in FPGA device for real-time image processing [J].
Wasilewski, P .
WAVELET APPLICATIONS IN SIGNAL AND IMAGE PROCESSING V, 1997, 3169 :550-556
[33]   Directional selection using 2-D complex discrete wavelet transform and its application for image processing [J].
Zhang, Z ;
Toda, H ;
Kawabata, H .
SICE 2004 ANNUAL CONFERENCE, VOLS 1-3, 2004, :1296-1300
[34]   A NEW 2-D FRACTAL DIMENSION ESTIMATION BASED ON CONTOURLET TRANSFORM FOR TEXTURE SEGMENTATION [J].
Yazdi, Mehran ;
Mahyari, Arash Golibagh .
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2010, 35 (1B) :293-317
[35]   An Evolutionary Algorithm with 2-D Encoding for Image Segmentation [J].
Zhang, Miao ;
Li, Huiqi ;
Su, Steven W. .
PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2017, :1819-1824
[36]   Research on the Image Segmentation of Icing Line Based on NSCT and 2-D OSTU [J].
Qi Lin ;
WangJing ;
Chen Yan-lei ;
Wang Zhen-zhou .
2015 7TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC), 2014, :124-128
[37]   2-D Maximum Entropy Method of Image Segmentation Based on Differential Evolution [J].
Zhang Shaojuan ;
Jia Cunliang ;
Liu Jingzhi ;
Dong Lifang .
PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1-2, 2008, :792-795
[38]   Research on the image segmentation of icing line based on NSCT and 2-D OSTU [J].
Qi, Lin ;
Wang, Jing ;
Li, Can Dong ;
Liu, Wei .
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2018, 57 (02) :112-120
[39]   Application of wavelet transform to image segmentation of stored-grain pests [J].
Wei, Shi .
2011 INTERNATIONAL CONFERENCE ON ECONOMIC, EDUCATION AND MANAGEMENT (ICEEM2011), VOL III, 2011, :670-672
[40]   Texture segmentation based on wavelet transform [J].
Ren, XY ;
Zhang, GL ;
Chen, ZY ;
Hu, RL ;
Li, XH .
INTERNATIONAL SYMPOSIUM ON MULTISPECTRAL IMAGE PROCESSING, 1998, 3545 :432-435
12345