Influence of Cold Plasma on Sesame Paste and the Nano Sesame Paste Based on Co-occurrence Matrix
The aim of the research is to investigate the effect of cold plasma on the bacteria grown on texture of sesame paste in its normal particle and nano particle size. Starting by using the image segmentation process depending on the threshold method, it is used to get rid of the reflection of the glas...
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| Format: | Article |
| Language: | Arabic |
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College of Science for Women, University of Baghdad
2022-08-01
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| Series: | Baghdad Science Journal |
| Subjects: | |
| Online Access: | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/5532 |
| _version_ | 1818179900063875072 |
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| author | Alyaa H. Ali Zainab H Shakir Alaa N. Mazher Sabah N. Mazhir |
| author_facet | Alyaa H. Ali Zainab H Shakir Alaa N. Mazher Sabah N. Mazhir |
| author_sort | Alyaa H. Ali |
| collection | DOAJ |
| description |
The aim of the research is to investigate the effect of cold plasma on the bacteria grown on texture of sesame paste in its normal particle and nano particle size. Starting by using the image segmentation process depending on the threshold method, it is used to get rid of the reflection of the glass slides on which the sesame samples are placed. The classification process implemented to separate the sesame paste texture from normal and abnormal texture. The abnormal texture appears when the bacteria has been grown on the sesame paste after being left for two days in the air, unsupervised k-mean classification process used to classify the infected region, the normal region and the treated region. The bacteria treated with cold plasma, the time exposure is two minutes. The textural features related to gray level co-occurrence matrix are calculated for the normal, abnormal and the treated texture, it is obvious that the treated texture class has the best features compared with the other classes. The result shows the sesame paste treated with plasma has good result compared with nano sesame paste treated with plasma. This is because the plasma provides the sesame paste with heat and makes the sesame nano particle congregate together.
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| first_indexed | 2024-12-11T21:11:13Z |
| format | Article |
| id | doaj.art-7ae5ba5b76c04a1a86d5fcd6b015c925 |
| institution | Directory Open Access Journal |
| issn | 2078-8665 2411-7986 |
| language | Arabic |
| last_indexed | 2024-12-11T21:11:13Z |
| publishDate | 2022-08-01 |
| publisher | College of Science for Women, University of Baghdad |
| record_format | Article |
| series | Baghdad Science Journal |
| spelling | doaj.art-7ae5ba5b76c04a1a86d5fcd6b015c9252022-12-22T00:50:43ZaraCollege of Science for Women, University of BaghdadBaghdad Science Journal2078-86652411-79862022-08-0119410.21123/bsj.2022.19.4.0855Influence of Cold Plasma on Sesame Paste and the Nano Sesame Paste Based on Co-occurrence MatrixAlyaa H. Ali0Zainab H Shakir1Alaa N. Mazher2Sabah N. Mazhir3Department of Physics, College of science for women, University of Baghdad, Baghdad, Iraq.Computer Department, University of Technology, Baghdad, Iraq.Computer Department, University of Technology, Baghdad, Iraq.Department of Physics, College of science for women, University of Baghdad, Baghdad, Iraq. The aim of the research is to investigate the effect of cold plasma on the bacteria grown on texture of sesame paste in its normal particle and nano particle size. Starting by using the image segmentation process depending on the threshold method, it is used to get rid of the reflection of the glass slides on which the sesame samples are placed. The classification process implemented to separate the sesame paste texture from normal and abnormal texture. The abnormal texture appears when the bacteria has been grown on the sesame paste after being left for two days in the air, unsupervised k-mean classification process used to classify the infected region, the normal region and the treated region. The bacteria treated with cold plasma, the time exposure is two minutes. The textural features related to gray level co-occurrence matrix are calculated for the normal, abnormal and the treated texture, it is obvious that the treated texture class has the best features compared with the other classes. The result shows the sesame paste treated with plasma has good result compared with nano sesame paste treated with plasma. This is because the plasma provides the sesame paste with heat and makes the sesame nano particle congregate together. https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/5532Co-occurrence matrix, Image Classification, Image segmentation, K-mean clustering |
| spellingShingle | Alyaa H. Ali Zainab H Shakir Alaa N. Mazher Sabah N. Mazhir Influence of Cold Plasma on Sesame Paste and the Nano Sesame Paste Based on Co-occurrence Matrix Baghdad Science Journal Co-occurrence matrix, Image Classification, Image segmentation, K-mean clustering |
| title | Influence of Cold Plasma on Sesame Paste and the Nano Sesame Paste Based on Co-occurrence Matrix |
| title_full | Influence of Cold Plasma on Sesame Paste and the Nano Sesame Paste Based on Co-occurrence Matrix |
| title_fullStr | Influence of Cold Plasma on Sesame Paste and the Nano Sesame Paste Based on Co-occurrence Matrix |
| title_full_unstemmed | Influence of Cold Plasma on Sesame Paste and the Nano Sesame Paste Based on Co-occurrence Matrix |
| title_short | Influence of Cold Plasma on Sesame Paste and the Nano Sesame Paste Based on Co-occurrence Matrix |
| title_sort | influence of cold plasma on sesame paste and the nano sesame paste based on co occurrence matrix |
| topic | Co-occurrence matrix, Image Classification, Image segmentation, K-mean clustering |
| url | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/5532 |
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