Image Recovery by Recursive Spline Smoothing and Application to Recognition of Compound Structures

A. Grebénnikov
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Abstract

In this paper we propose approach for special data post-processing, based on Recursive Spline Smoothing method, adapted to image reconstruction. The description of the special MATLAB program package is presented. Constructed algorithms and programs are applied to compound structures reconstruction. Necessity of reconstruction of compound structures appears in different applications. As a rule, tomography images are used for this purpose. However, obtained result usually contains significant visible noise. To eliminate such noise specific approach is applied for structures, which have piecewise constant characteristics with known values. It consists in Recursive Spline Smoothing and includes also projection of the pre-reconstructed data to the known set of values with respect to the absolute or relative criterion.
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递归样条平滑图像恢复及其在复合结构识别中的应用
本文提出了一种基于递推样条平滑法的特殊数据后处理方法,该方法适用于图像重建。给出了MATLAB专用程序包的描述。将构造好的算法和程序应用于复合结构的重构。复合结构在不同的应用中出现了重构的必要性。通常,层析成像用于此目的。然而,所得到的结果通常含有明显的可见噪声。为了消除这种噪声,对具有已知值的分段常数特征的结构采用了特定的方法。它包括递归样条平滑,也包括预重构数据的投影到已知的值集相对于绝对或相对准则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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