The Texture Roughness Measures for Engineering Problems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10255908" target="_blank" >RIV/61989100:27240/24:10255908 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27120/24:10255908
Result on the web
<a href="https://pubs.aip.org/aip/acp/article/3094/1/300004/3297183/The-texture-roughness-measures-for-engineering" target="_blank" >https://pubs.aip.org/aip/acp/article/3094/1/300004/3297183/The-texture-roughness-measures-for-engineering</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1063/5.0212126" target="_blank" >10.1063/5.0212126</a>

Result language
angličtina
Original language name
The Texture Roughness Measures for Engineering Problems
Original language description
In our research, we are interested in the automatized detection of corrosion on images of steel structures. The paper presents the influence of the roughness of image and the value of widely used measures, namely properties of grey-level co-occurrence matrix (GLCM) and grey level run length matrix (GLRLM). The results show the capability of these measures for the description of roughness in the image, which is typically considered significant evidence of corrosion. We suggest that image classification based on reviewed measures can be further utilized for standard classification methods.
Czech name
—
Czech description
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Project
<a href="/en/project/GA21-14886S" target="_blank" >GA21-14886S: Influence of material properties of high strength steels on durability of engineering structures and bridges</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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