DocumentCode
2228930
Title
Image Recovery by Recursive Spline Smoothing and Application to Recognition of Compound Structures
Author
Grebennikov, Alexandre
Author_Institution
Fac. of Phys.-Math. Sci., Merited Autonomous Univ. of Puebla, Puebla, Mexico
fYear
2012
fDate
16-18 April 2012
Firstpage
25
Lastpage
29
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.
Keywords
computerised tomography; image recognition; image reconstruction; mathematics computing; piecewise constant techniques; splines (mathematics); MATLAB program package; compound structure recognition; compound structure reconstruction; data post-processing; image reconstruction; image recovery; piecewise constant characteristics; recursive spline smoothing method; tomography images; Approximation methods; Compounds; Image reconstruction; Mathematical model; Smoothing methods; Spline; Tomography; compounds; computed tomography; images; reconstruction algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: New Generations (ITNG), 2012 Ninth International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4673-0798-7
Type
conf
DOI
10.1109/ITNG.2012.12
Filename
6209142
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