Detection of gram positive and gram negative organisms in sputum quality testing
Sputum is a mucus that cough up from the lower airways which is a normal body fluid. The sputum consists of squamous epithelial cell, pus cells and bacteria. For this project, it only focus on bacteria organisms which is consists of two type of bacteria such as gram positive and gram negative bacter...
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| Format: | Undergraduates Project Papers |
| Language: | English |
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2012
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| Online Access: | http://umpir.ump.edu.my/id/eprint/6493/ http://umpir.ump.edu.my/id/eprint/6493/ http://umpir.ump.edu.my/id/eprint/6493/1/CD6723.pdf |
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ump-6493 |
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eprints |
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ump-64932015-03-03T09:30:42Z http://umpir.ump.edu.my/id/eprint/6493/ Detection of gram positive and gram negative organisms in sputum quality testing Siti Syazwani, Razi TK Electrical engineering. Electronics Nuclear engineering Sputum is a mucus that cough up from the lower airways which is a normal body fluid. The sputum consists of squamous epithelial cell, pus cells and bacteria. For this project, it only focus on bacteria organisms which is consists of two type of bacteria such as gram positive and gram negative bacteria. The purpose of this project is to detect and count the quantity for gram positive and gram negative bacteria. At the same time, the grading for both bacteria is identified based on grading criteria. Currently, gram positive and gram negative bacteria is detected and counted manually by human and the grading is identified. Since human might do some mistake in detection and summation for both bacteria and take a long time in doing this process, developing an automatic vision system is necessary to obtain more accurate results and time saving. This automatic vision system developed based on image processing technique which is involve of software simulation only by using MATLAB simulation. In developing this project, some techniques of the image processing is applied into MATLAB simulation such as image analysis, image segmentation, image enhancement, morphological process and other. Then, the results for summation and grading are displayed on MATLAB Graphical user Interface (GUI). Last but not least, the result for grading obtained give similar value compare to validation test from HUSM. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6493/1/CD6723.pdf Siti Syazwani, Razi (2012) Detection of gram positive and gram negative organisms in sputum quality testing. Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:77631&theme=UMP2 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Siti Syazwani, Razi Detection of gram positive and gram negative organisms in sputum quality testing |
| description |
Sputum is a mucus that cough up from the lower airways which is a normal body fluid. The sputum consists of squamous epithelial cell, pus cells and bacteria. For this project, it only focus on bacteria organisms which is consists of two type of bacteria such as gram positive and gram negative bacteria. The purpose of this project is to detect and count the quantity for gram positive and gram negative bacteria. At the same time, the grading for both bacteria is identified based on grading criteria. Currently, gram positive and gram negative bacteria is detected and counted manually by human and the grading is identified. Since human might do some mistake in detection and summation for both bacteria and take a long time in doing this process, developing an automatic vision system is necessary to obtain more accurate results and time saving. This automatic vision system developed based on image processing technique which is involve of software simulation only by using MATLAB simulation. In developing this project, some techniques of the image processing is applied into MATLAB simulation such as image analysis, image segmentation, image enhancement, morphological process and other. Then, the results for summation and grading are displayed on MATLAB Graphical user Interface (GUI). Last but not least, the result for grading obtained give similar value compare to validation test from HUSM. |
| format |
Undergraduates Project Papers |
| author |
Siti Syazwani, Razi |
| author_facet |
Siti Syazwani, Razi |
| author_sort |
Siti Syazwani, Razi |
| title |
Detection of gram positive and gram negative organisms in sputum quality testing |
| title_short |
Detection of gram positive and gram negative organisms in sputum quality testing |
| title_full |
Detection of gram positive and gram negative organisms in sputum quality testing |
| title_fullStr |
Detection of gram positive and gram negative organisms in sputum quality testing |
| title_full_unstemmed |
Detection of gram positive and gram negative organisms in sputum quality testing |
| title_sort |
detection of gram positive and gram negative organisms in sputum quality testing |
| publishDate |
2012 |
| url |
http://umpir.ump.edu.my/id/eprint/6493/ http://umpir.ump.edu.my/id/eprint/6493/ http://umpir.ump.edu.my/id/eprint/6493/1/CD6723.pdf |
| first_indexed |
2023-09-18T22:02:17Z |
| last_indexed |
2023-09-18T22:02:17Z |
| _version_ |
1777414477885472768 |