摘要
为了改善成像测井图像质量以确保后续解释评价的效果，需要对成像测井图像进行增强处理。目前成像测并系统在图像增强方面基本采用中值滤波，直方图均衡化等传统的空域泛化滤波办法，这些方法在图像增强的同时也放大了噪声。本文提出基于二维离散小波的加权闽值图像增强方法，采用小波对图像进行频域分割，根据信号与噪声在频域的不同特点，利用加权阈值来对成像测井图像进行增强。通过对实际电成像测井资料的处理，结果表明在图像增强的同时也很好保留图像的边缘信息，是一种有效的图像增强方法。
In order to improve the picture quality of imaging well logging and ensure the effect of the following interpretation evaluation, image enhancement is needed.Traditional spatial methods,such as median filtering and histogram equalization, etc.,are adopted in the existing imaging well logging systems for image enhancement,which may amplify noise while enhance the images.The paper proposed a weighted threshold method based on two-dimensional discrete wavelet which uses wavelet transformation to partition the frequency domain of an image and enhance the image with the weighted threshold according to the differences of signals and noise in frequency domain.Through practical application in processing imaging well logging data,the result indicates that it can keep the edge information while enhancing images.It is an effective method.
出处
《国外测井技术》
2009年第6期43-45,4,共3页
World Well Logging Technology
基金
中石油科技创新基金研究项目资助(2008D-5006-03-04)
关键词
成像测井
图像增强
二维离散小波
imaging well logging
image enhancement
two-dimensional discrete wavelet
