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原始数字图象的数学表达及条纹干扰的提取
引用本文:杨绪海,张晓春.原始数字图象的数学表达及条纹干扰的提取[J].CT理论与应用研究,2001,10(3):42-46.
作者姓名:杨绪海  张晓春
作者单位:防灾技术高等专科学校 数学教研室,
摘    要:本文试图给出原始数字图象的数学定义,为进一步进行图象重建与处理提供了方便,在此基础上分析了条纹干扰产生的原因并给出了提取的方法,作为应用,解决了利用CIBL数据提取岩石裂缝的问题。

关 键 词:原始数字图象  正态变换  线性变换  条纹干扰  周期性误动
修稿时间:2001年6月18日

The Mathematical Definition Of Original Digital Image And the Abstraction of Stripe Noise
Xuhai and ZHANG Xiaochun.The Mathematical Definition Of Original Digital Image And the Abstraction of Stripe Noise[J].Computerized Tomography Theory and Applications,2001,10(3):42-46.
Authors:Xuhai and ZHANG Xiaochun
Abstract:This paper tries to give the mathematical definition of original digital image which makes it easier to carry out the reconstruction and process of the image, it also analyzes the reason why there remains the stripe noise, and shows the ways of how to take it off .As a result, it solves the problem of Abstracting rocks fractures using CBIL data To study rock fractures is the subject the petroleum explorers are much concerned about. Bore hole image logging is the effective means to study rock fractures. But at moment semi- quantitive analysis of rock fractures can be made because of the limitation of the equipment and the data processing technique. Acoustic image logging is the best way to detect fractures. The authors used the method given in this paper to identify the rock fractures automatically and to make quite precise quantitative analysis. The effect was testified by processing Atias CBIL data.
Keywords:Original digital image  Normal transformation  Stripe noise of linear transformation  Periodic activity
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