Segmentation of Moire Fringes of Scoliotic Spines Using Filtering and Morphological Operations

被引：0

作者：

Bogdan, Csaba ^{[1
]}

Magony, Andor Daniel ^{[1
]}

Birkfellner, Wolfgang ^{[2
]}

Antal, Akos ^{[3
]}

Tunyogi-Csapo, Miklos ^{[4
]}

机构：

[1] Univ Pecs, Inst Transdisciplinary Discover, Med Sch, Ifjusag Utja 11, H-7624 Pecs, Hungary

[2] Med Univ Vienna, Ctr Med Phys & Biomed Engn, Spitalgasse 23, A-1090 Vienna, Austria

[3] Budapest Univ Technol & Econ, Dept Mechatron Opt & Mech Engn Informat, Bertalan Lajos U 4-6, H-1111 Budapest, Hungary

[4] Buda Hlth Ctr, Natl Ctr Spinal Disorders, Kiralyhago U 1-3, H-1126 Budapest, Hungary

来源：

ACTA POLYTECHNICA HUNGARICA | 2023年 / 20卷 / 02期

关键词：

moire fringe segmentation; moire method; shadow moire; projection moire; digital moire; scoliosis;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

For reducing uncertainties in moire pattern analysis, an accurate segmentation of moire fringes (MF) is vital. In this study, an algorithm for segmenting MFs of scoliotic spines was provided in MATLAB (R) environment by an empirically established sequence of filtering and morphological operations defined by static function parameters: (1) contrast enhancement, (2) brightness increase, (3) contrast refinement, (4) 2-D Gaussian filter, (5) dilation, (6) thresholding, (7) skeletonization. The algorithm is simple, fast to process and, for the most part of the images, follows the MFs correctly. Further research on segmenting MFs is quite promising by improving the algorithm with adaptive and dynamic solutions, and exploring ways to replace time demanding and complex image processing techniques.

引用

页码：223 / 241

页数：19

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