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@article{18260,
   author = {Hotař, Vlastimil and Salač, Petr},
   article_location = {USA},
   article_number = {Article ID 435935},
   doi = {http://dx.doi.org/10.1155/2014/435935},
   keywords = {fractal geometry; surface; statistic},
   language = {eng},
   issn = {1537-744X},
   journal = {SCIENTIFIC WORLD JOURNAL},
   title = {Surface Evaluation by Estimation of Fractal Dimension and Statistical Tools},
   volume = {Volume2014},
   year = {2014}
}

TY  - JOUR
ID  - 18260
AU  - Hotař, Vlastimil - Salač, Petr
PY  - 2014
TI  - Surface Evaluation by Estimation of Fractal Dimension and Statistical Tools
JF  - SCIENTIFIC WORLD JOURNAL
VL  - Volume2014
IS  - Article ID 435935
SP  - 1-10
EP  - 1-10
SN  - 1537-744X
KW  - fractal geometry
KW  - surface
KW  - statistic
N2  - Structured and complex data can be found in many applications in research and development, and also in industrial practice. We developed a methodology for describing the structured data complexity, and applied it in development and industrial practice. The methodology uses fractal dimension together with statistical tools and with software modification is able to analyse data in a form sequence (signals, surface roughness), 2D images and dividing lines. The methodology had not been tested for a relatively large collection of data. For this reason, samples with structured surfaces produced with different technologies and properties were measured and evaluated with many types of parameters. The article intends to analyse data measured by a surface roughness tester. The methodology shown compares standard and non-standard parameters, searches the optimal parameters for a complete analysis, and specifies the sensitivity to directionality of samples for these types of surfaces. The text presents application of fractal geometry (fractal dimension) for complex surface analysis in combination with standard roughness parameters (statistical tool).
ER  - 

HOTAŘ, Vlastimil a Petr SALAČ. Surface Evaluation by Estimation of Fractal Dimension and Statistical Tools. \textit{SCIENTIFIC WORLD JOURNAL}. USA, 2014, Volume2014, Article ID 435935, s.~1-10. ISSN~1537-744X. Dostupné z: https://dx.doi.org/10.1155/2014/435935.