摘要
针对超声成像测井中因各种不确定因素而导致测井图像中出现异样点的现象,通过分析目前清除异样点所采取的常规方式的不足,提出一种能够有效解决此类问题的全变分修复算法。该方法先于选定区域内依据阈值大小确定待修复的异样点,随后采用全变分图像修复新方法修复此类异样点。分别将其应用于标准测井图像与实际测井资料处理中并进行效果比对。实践证明,该算法能够完全恢复其图像的原始特征,为后期图像资料中此类状况的修复处理提供了有效的解决方案。
In the process of ultrasonic image logging, some abnormal speckles often appear in the images due to several uncertain factors. This paper analyzes the inefficiency of normal ways to clear away these abnormal speckles so as to put forward an effective total-variation repair algorithm to solve this problem. Firstly, it chooses reduced outliers according to the threshold in the selected regions, and then utilizes TV-inpainting to repair these outliers. The author uses this algorithm to process the standard logging images and the actual logging images respectively, and makes a comparison between the two results. It has been found that this algorithm is capable of restoring the original features of the images completely, which provides an effective solution for the repair and management of such circumstances when similar problems appear in the later image materials processing.
出处
《测井技术》
CAS
CSCD
北大核心
2014年第1期46-50,共5页
Well Logging Technology
基金
湖北省教育厅科技计划基金项目(B20111307)
关键词
超声成像测井
图像异样点
修复
ultrasonic imaging logging, image outlier, restorative procedure
