一种全变分二范数有限差分小波域超声成像测井修正算法

来源 :第13届全国博士生学术年会——物联网专题 | 被引量 : 0次 | 上传用户：xjwyx770729

【摘要】

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【作者】

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张健梁磊张顺

【机构】

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武汉理工大学光纤传感技术国家工程实验室武汉430070;长江大学计算机科学学院荆州 434023

【出处】

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第13届全国博士生学术年会——物联网专题

【发表日期】

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2015年11期

【关键词】

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超声测井图像修正全变分二范数有限差分

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针对超声成像测井中由于各种不确定因素而导致测井图像中出现带状异常区域的现象,通过分析目前修复异常区域所采用的常规方法尤其是小波域修复方法的不足,提出一种能够有效解决此类问题的全变分二范数有限差分小波域超声测井图像修正算法.首先,设计基于图像基于相邻行相关值与绝对误差值相结合的"链条"异常区域自动识别算法,实现对异常区域的准确定位.随后针对全变分小波域图像修复过程中出现的"分片常数"效应,设计一种全变分二范数有限差分小波域修复算法来有效消除此影响.通过实际测并资料处理结果与标准测井图像进行效果比对证明:该算法进一步提升了针对"链条"异常区域的修复效果,为后期图像资料中此类状况的修复提供了有效的解决方案.

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一种全变分二范数有限差分小波域超声成像测井修正算法

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