一种全变分修复算法在成像测井图像异点处理中的应用  

Application of a Total Variation Inpainting Algorithm for Image Outliers Processing Related to Imaging Logging

作　　者：张健[1] 

机构地区：[1]长江大学计算机科学学院,荆州434023

出　　处：《科学技术与工程》2014年第13期135-139,共5页Science Technology and Engineering

基　　金：国家973项目(2007CB209607);国家自然科学基金(40727001;40774073)资助

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识别待修复的异样点,随后采用该修复算法进行修复;并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。Aiming at the phenomenon that in the process of ultrasonic image logging，some abnormal speckles will 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 kind of issue. Firstly，it chooses reduced outliers according to the threshold in the selected regions and then utilizes TV-inpainting to repair these outliers. The author applies this algorithm to process the standard logging image and the actual logging image 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 image materials in the later stage.

关 键 词：全变分 修复算法 成像测井 异样点处理 

分 类 号：P631.831.4[天文地球—地质矿产勘探]