Pemprosesan Imej Berwarna Dan Pengiraan Tubercle Bacili
In Malaysia, the traditional method for the identification of Mycobacterium tuberculosis bacteria requires a trained technologist to manually examined sputum specimen under 100 x 10 microscopes. This method is troublesome because it causes strain and eye fatigue and causes limits to only 25 sp...
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| Format: | Monograph |
| Language: | English |
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Universiti Sains Malaysia
2006
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| Online Access: | http://eprints.usm.my/58755/ http://eprints.usm.my/58755/1/Pemprosesan%20Imej%20Berwarna%20Dan%20Pengiraan%20Tubercle%20Bacili_Mohd%20Hishamuddin%20Kassim.pdf |
| _version_ | 1848883984515203072 |
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| author | Kassim, Mohd Hishamuddin |
| author_facet | Kassim, Mohd Hishamuddin |
| author_sort | Kassim, Mohd Hishamuddin |
| building | USM Institutional Repository |
| collection | Online Access |
| description | In Malaysia, the traditional method for the identification of Mycobacterium
tuberculosis bacteria requires a trained technologist to manually examined sputum
specimen under 100 x 10 microscopes. This method is troublesome because it causes
strain and eye fatigue and causes limits to only 25 specimens per day. It also takes 15 to
20 minutes to examine each specimen and it will cause error when reading results. As a
solution, the development of a software system is proposed to automatically identify
Mycobacterium tuberculosis cluster from digitized microscopic images of sputum
specimens using C++ Builder Version 5 software. This software will count total bacteria
in specimen and the result will determine whether the individual has tuberculosis
disease or not. The technique used for counting bacteria is based on colour image
processing. The red, green and blue (RGB) colour model will be used to process the
colour image. The first step is to build the histogram for every colour component, and
then the bacteria threshold value is identified to produce the threshold image. Next,
filter image process will be done to eliminate the noise. Lastly, the bacteria will be
count. |
| first_indexed | 2025-11-15T18:59:29Z |
| format | Monograph |
| id | usm-58755 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T18:59:29Z |
| publishDate | 2006 |
| publisher | Universiti Sains Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-587552023-05-31T09:18:28Z http://eprints.usm.my/58755/ Pemprosesan Imej Berwarna Dan Pengiraan Tubercle Bacili Kassim, Mohd Hishamuddin T Technology TK Electrical Engineering. Electronics. Nuclear Engineering In Malaysia, the traditional method for the identification of Mycobacterium tuberculosis bacteria requires a trained technologist to manually examined sputum specimen under 100 x 10 microscopes. This method is troublesome because it causes strain and eye fatigue and causes limits to only 25 specimens per day. It also takes 15 to 20 minutes to examine each specimen and it will cause error when reading results. As a solution, the development of a software system is proposed to automatically identify Mycobacterium tuberculosis cluster from digitized microscopic images of sputum specimens using C++ Builder Version 5 software. This software will count total bacteria in specimen and the result will determine whether the individual has tuberculosis disease or not. The technique used for counting bacteria is based on colour image processing. The red, green and blue (RGB) colour model will be used to process the colour image. The first step is to build the histogram for every colour component, and then the bacteria threshold value is identified to produce the threshold image. Next, filter image process will be done to eliminate the noise. Lastly, the bacteria will be count. Universiti Sains Malaysia 2006-05-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/58755/1/Pemprosesan%20Imej%20Berwarna%20Dan%20Pengiraan%20Tubercle%20Bacili_Mohd%20Hishamuddin%20Kassim.pdf Kassim, Mohd Hishamuddin (2006) Pemprosesan Imej Berwarna Dan Pengiraan Tubercle Bacili. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Elektrik dan Elektronik. (Submitted) |
| spellingShingle | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Kassim, Mohd Hishamuddin Pemprosesan Imej Berwarna Dan Pengiraan Tubercle Bacili |
| title | Pemprosesan Imej Berwarna Dan Pengiraan Tubercle Bacili |
| title_full | Pemprosesan Imej Berwarna Dan Pengiraan Tubercle Bacili |
| title_fullStr | Pemprosesan Imej Berwarna Dan Pengiraan Tubercle Bacili |
| title_full_unstemmed | Pemprosesan Imej Berwarna Dan Pengiraan Tubercle Bacili |
| title_short | Pemprosesan Imej Berwarna Dan Pengiraan Tubercle Bacili |
| title_sort | pemprosesan imej berwarna dan pengiraan tubercle bacili |
| topic | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering |
| url | http://eprints.usm.my/58755/ http://eprints.usm.my/58755/1/Pemprosesan%20Imej%20Berwarna%20Dan%20Pengiraan%20Tubercle%20Bacili_Mohd%20Hishamuddin%20Kassim.pdf |