摘要
针对提高超声波成像测井图像的视觉质量及退化因素,采用数字图像复原技术对换能器探头在实验室超声波成像结果进行后处理,利用试验估计法建立了图像退化模型,估计了系统参数;利用该模型对超声波成像测井图像进行维纳滤波复原处理,有效改善图像的视觉质量。实验结果表明,该方法估计出的退化函数正确,应用到超声波成像测井中,对于裸眼井和套管井的评价能有效提高超声波成像测井图像的分辨率。
In order to improve the quality of ultrasonic image, degradation factors of the ultrasonic image are analyzed. In the case of unknown degradation model, the degradation model and system parameters are estimated through experiments, and the ultrasonic image is restored with Wiener filtering method. The experimental results show that the estimated degradation function is correct. This method can effectively improve the resolution of ultrasonic images and obtain good recovery results. It is necessary to further study the system degradation function and how to select correct parameters in the restoration algorithm.
出处
《测井技术》
CAS
CSCD
北大核心
2012年第6期581-584,共4页
Well Logging Technology
基金
国家863计划重点科研项目(2006AA060103)
关键词
超声波成像测井
超声波图像
试验估计法
图像复原
维纳滤波
点扩展函数
ultrasonic imaging logging, ultrasonic image, experimental estimation, image resto-ration, Wiener filtering, point spread function