{"main_file_link":[{"url":"https://www.sciencedirect.com/science/article/abs/pii/S0378437116001795"}],"year":"2016","volume":452,"page":"167-177","publication":"Physica A: Statistical Mechanics and its Applications","publication_identifier":{"eissn":["1873-2119"],"issn":["0378-4371 "]},"status":"public","date_updated":"2024-12-11T09:21:49Z","type":"journal_article","author":[{"full_name":"Blachowicz, T.","first_name":"T.","last_name":"Blachowicz"},{"id":"223776","full_name":"Ehrmann, Andrea","orcid":"0000-0003-0695-3905","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-0695-3905/work/173537433","first_name":"Andrea","last_name":"Ehrmann"},{"last_name":"Domino","first_name":"K.","full_name":"Domino, K."}],"date_created":"2019-05-28T06:59:57Z","user_id":"33980","doi":"10.1016/j.physa.2016.02.013","intvolume":"       452","citation":{"ama":"Blachowicz T, Ehrmann A, Domino K. Statistical analysis of digital images of periodic fibrous structures using generalized Hurst exponent distributions. <i>Physica A: Statistical Mechanics and its Applications</i>. 2016;452:167-177. doi:<a href=\"https://doi.org/10.1016/j.physa.2016.02.013\">10.1016/j.physa.2016.02.013</a>","alphadin":"<span style=\"font-variant:small-caps;\">Blachowicz, T.</span> ; <span style=\"font-variant:small-caps;\">Ehrmann, Andrea</span> ; <span style=\"font-variant:small-caps;\">Domino, K.</span>: Statistical analysis of digital images of periodic fibrous structures using generalized Hurst exponent distributions. In: <i>Physica A: Statistical Mechanics and its Applications</i> Bd. 452 (2016), S. 167–177","apa":"Blachowicz, T., Ehrmann, A., &#38; Domino, K. (2016). Statistical analysis of digital images of periodic fibrous structures using generalized Hurst exponent distributions. <i>Physica A: Statistical Mechanics and Its Applications</i>, <i>452</i>, 167–177. <a href=\"https://doi.org/10.1016/j.physa.2016.02.013\">https://doi.org/10.1016/j.physa.2016.02.013</a>","mla":"Blachowicz, T., et al. “Statistical Analysis of Digital Images of Periodic Fibrous Structures Using Generalized Hurst Exponent Distributions.” <i>Physica A: Statistical Mechanics and Its Applications</i>, vol. 452, 2016, pp. 167–77, doi:<a href=\"https://doi.org/10.1016/j.physa.2016.02.013\">10.1016/j.physa.2016.02.013</a>.","ieee":"T. Blachowicz, A. Ehrmann, and K. Domino, “Statistical analysis of digital images of periodic fibrous structures using generalized Hurst exponent distributions,” <i>Physica A: Statistical Mechanics and its Applications</i>, vol. 452, pp. 167–177, 2016.","chicago":"Blachowicz, T., Andrea Ehrmann, and K. Domino. “Statistical Analysis of Digital Images of Periodic Fibrous Structures Using Generalized Hurst Exponent Distributions.” <i>Physica A: Statistical Mechanics and Its Applications</i> 452 (2016): 167–77. <a href=\"https://doi.org/10.1016/j.physa.2016.02.013\">https://doi.org/10.1016/j.physa.2016.02.013</a>.","short":"T. Blachowicz, A. Ehrmann, K. Domino, Physica A: Statistical Mechanics and Its Applications 452 (2016) 167–177.","bibtex":"@article{Blachowicz_Ehrmann_Domino_2016, title={Statistical analysis of digital images of periodic fibrous structures using generalized Hurst exponent distributions}, volume={452}, DOI={<a href=\"https://doi.org/10.1016/j.physa.2016.02.013\">10.1016/j.physa.2016.02.013</a>}, journal={Physica A: Statistical Mechanics and its Applications}, author={Blachowicz, T. and Ehrmann, Andrea and Domino, K.}, year={2016}, pages={167–177} }"},"title":"Statistical analysis of digital images of periodic fibrous structures using generalized Hurst exponent distributions","abstract":[{"lang":"eng","text":"Distinction of diverse two-dimensional periodic structures can be based on a large number of methods and parameters, while the quantitative description of differences between similar samples is usually difficult. This article aims, by the use of statistical random walk in a generalized q-order dimensional space, at introducing a methodology to qualify the networked structures on the basis of exemplary textile samples. The presented results were obtained at 1-bit monochromatic maps obtained from optical microscopic pictures. Significant features of samples were represented by the obtained distributions of Hurst exponents and Shannon entropy calculations."}],"_id":"360","language":[{"iso":"eng"}]}