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		<identifier>oai:zbc.uz.zgora.pl:72538</identifier>
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<dc:title xml:lang="pl"><![CDATA[Digital analysis of geo-referenced concrete Scanning Electron Microscope (SEM) images]]></dc:title>
<dc:creator><![CDATA[Ahamad, Mohd Sanusi S.]]></dc:creator>
<dc:creator><![CDATA[Maizul, Elly Nur Myaisara]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[scanning electron microscope]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[geo-referenced imagery]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[digital image analysis]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[image mapping]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[mikroskop skaningowy]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[cyfrowa analiza obrazu]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[mapowanie obrazu]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[The microstructural evaluation of complex cementitious materials has been made possible by the microscopic imaging tools such as Scanning Electron Microscope (SEM) and X-Ray Microanalysis. Particularly, the application of concrete SEM imaging and digital image analysis have become common in the analysis and mapping of concrete technology.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[In this study, six samples of two-dimensional (2D) SEM images were spatially resampled to produce Geo-referenced SEM sample images. Subsequently, they were analyzed and the intensity histogram plot was produced to facilitate visual interpretation. The consecutive digital image analysis performed was the enhancement and noise removal process using two filtering methods i.e. median and adaptive box filter.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The filtered resampled images, then undergone the unsupervised K-Means classification process to collectively separate each individual pixel corresponds to the spectral data. By spatial segmentation of K-Means algorithms, the cluster groups generated were carefully reviewed before proceeding to the final analysis. From the resulting data, the mapping of the spatial distribution of k-cluster and the quantification of micro-cracks (voids) were performed.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The results of the SEM images (1st - 4th sample) showed a higher percentage of k-cluster data indicating a good correlation with the major elemental composition of EDX analysis, namely Oxide (O), Silicon (Si) and Carbon (C). Meanwhile, the subjective visual assessment of the image (5th and 6th sample) has confirmed the micro-crack developments on the concrete SEM images upon which the crack density was 3.02 % and 1.30 %, respectively.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[tytuł dodatkowy: Prace z Inżynierii Lądowej i Środowiska]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego]]></dc:publisher>
<dc:contributor><![CDATA[Kuczyński, Tadeusz - red.]]></dc:contributor>
<dc:date><![CDATA[2020]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:format xml:lang="pl"><![CDATA[application/pdf]]></dc:format>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/72538/ceer2020_2_ahamad_digital.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/79569/edition/72538/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:72538]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[Civil and Environmental Engineering Reports (CEER), no 30, vol. 2]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:79569]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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