Quantitative Analysis And Mapping Of Concrete Scanning Electron Microscope (SEM) Images
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 anal...
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| Format: | Monograph |
| Language: | English |
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Universiti Sains Malaysia
2018
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| Online Access: | http://eprints.usm.my/52848/1/Quantitative%20Analysis%20And%20Mapping%20Of%20Concrete%20Scanning%20Electron%20Microscope%20%28SEM%29%20Images_Elly%20Nur%20Myaisara%20Maizul_A9_2018.pdf |
| _version_ | 1797012894943019008 |
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| author | Maizul, Elly Nur Myaisara |
| author_facet | Maizul, Elly Nur Myaisara |
| author_sort | Maizul, Elly Nur Myaisara |
| collection | USM |
| description | 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 either in the qualitative or quantitative manner. In this study, six samples of two-dimensional (2D) SEM images were spatially transformed using the standard resampling process to produce Geo-referenced SEM sample images. Subsequently, these
resampled SEM images were analysed 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. 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. The final results of the SEM images (sample 1 to 4) showed 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 sample 5 and 6 has confirmed the micro-crack developments on the concrete SEM images upon which the crack density was 3.02 % and 1.30 %, respectively. |
| first_indexed | 2024-03-06T15:54:24Z |
| format | Monograph |
| id | usm.eprints-52848 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2024-03-06T15:54:24Z |
| publishDate | 2018 |
| publisher | Universiti Sains Malaysia |
| record_format | dspace |
| spelling | usm.eprints-528482022-06-13T06:57:28Z http://eprints.usm.my/52848/ Quantitative Analysis And Mapping Of Concrete Scanning Electron Microscope (SEM) Images Maizul, Elly Nur Myaisara T Technology TA Engineering (General). Civil engineering (General) 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 either in the qualitative or quantitative manner. In this study, six samples of two-dimensional (2D) SEM images were spatially transformed using the standard resampling process to produce Geo-referenced SEM sample images. Subsequently, these resampled SEM images were analysed 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. 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. The final results of the SEM images (sample 1 to 4) showed 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 sample 5 and 6 has confirmed the micro-crack developments on the concrete SEM images upon which the crack density was 3.02 % and 1.30 %, respectively. Universiti Sains Malaysia 2018-06-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/52848/1/Quantitative%20Analysis%20And%20Mapping%20Of%20Concrete%20Scanning%20Electron%20Microscope%20%28SEM%29%20Images_Elly%20Nur%20Myaisara%20Maizul_A9_2018.pdf Maizul, Elly Nur Myaisara (2018) Quantitative Analysis And Mapping Of Concrete Scanning Electron Microscope (SEM) Images. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Awam. (Submitted) |
| spellingShingle | T Technology TA Engineering (General). Civil engineering (General) Maizul, Elly Nur Myaisara Quantitative Analysis And Mapping Of Concrete Scanning Electron Microscope (SEM) Images |
| title | Quantitative Analysis And Mapping Of Concrete Scanning Electron Microscope (SEM) Images |
| title_full | Quantitative Analysis And Mapping Of Concrete Scanning Electron Microscope (SEM) Images |
| title_fullStr | Quantitative Analysis And Mapping Of Concrete Scanning Electron Microscope (SEM) Images |
| title_full_unstemmed | Quantitative Analysis And Mapping Of Concrete Scanning Electron Microscope (SEM) Images |
| title_short | Quantitative Analysis And Mapping Of Concrete Scanning Electron Microscope (SEM) Images |
| title_sort | quantitative analysis and mapping of concrete scanning electron microscope sem images |
| topic | T Technology TA Engineering (General). Civil engineering (General) |
| url | http://eprints.usm.my/52848/1/Quantitative%20Analysis%20And%20Mapping%20Of%20Concrete%20Scanning%20Electron%20Microscope%20%28SEM%29%20Images_Elly%20Nur%20Myaisara%20Maizul_A9_2018.pdf |
| work_keys_str_mv | AT maizulellynurmyaisara quantitativeanalysisandmappingofconcretescanningelectronmicroscopesemimages |