Detection of hematuria using digital image processing through lab view
The main focus of the project is the detection of Hematuria in digital images from samples of urine. Digital images of urine are gathered in a clinical laboratory. The digital images are fed into the system made through Lab VIEW. Using digital image processing, the system will assess if the fed samp...
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2014
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oai:animorepository.dlsu.edu.ph:etd_bachelors-121722022-03-12T01:40:41Z Detection of hematuria using digital image processing through lab view Aguyin, Jan Earl G. Eleazar, Neil Marion T. Labiaga, Kevin A. Sugcang, Jerome D. J. The main focus of the project is the detection of Hematuria in digital images from samples of urine. Digital images of urine are gathered in a clinical laboratory. The digital images are fed into the system made through Lab VIEW. Using digital image processing, the system will assess if the fed samples are or normal cases or Hematuria. The system can also identify whether samples has either Microscopic or Gross Hematura. K- means clustering will also be used to check for presence of discoloration in the urine sample. 2014-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/11527 Bachelor's Theses English Animo Repository Hematuria Urinary organs--Diseases Image processing--Digital techniques Electrical and Electronics Engineering |
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De La Salle University |
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De La Salle University Library |
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Asia |
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Philippines Philippines |
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De La Salle University Library |
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DLSU Institutional Repository |
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English |
| topic |
Hematuria Urinary organs--Diseases Image processing--Digital techniques Electrical and Electronics Engineering |
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Hematuria Urinary organs--Diseases Image processing--Digital techniques Electrical and Electronics Engineering Aguyin, Jan Earl G. Eleazar, Neil Marion T. Labiaga, Kevin A. Sugcang, Jerome D. J. Detection of hematuria using digital image processing through lab view |
| description |
The main focus of the project is the detection of Hematuria in digital images from samples of urine. Digital images of urine are gathered in a clinical laboratory. The digital images are fed into the system made through Lab VIEW. Using digital image processing, the system will assess if the fed samples are or normal cases or Hematuria. The system can also identify whether samples has either Microscopic or Gross Hematura. K- means clustering will also be used to check for presence of discoloration in the urine sample. |
| format |
text |
| author |
Aguyin, Jan Earl G. Eleazar, Neil Marion T. Labiaga, Kevin A. Sugcang, Jerome D. J. |
| author_facet |
Aguyin, Jan Earl G. Eleazar, Neil Marion T. Labiaga, Kevin A. Sugcang, Jerome D. J. |
| author_sort |
Aguyin, Jan Earl G. |
| title |
Detection of hematuria using digital image processing through lab view |
| title_short |
Detection of hematuria using digital image processing through lab view |
| title_full |
Detection of hematuria using digital image processing through lab view |
| title_fullStr |
Detection of hematuria using digital image processing through lab view |
| title_full_unstemmed |
Detection of hematuria using digital image processing through lab view |
| title_sort |
detection of hematuria using digital image processing through lab view |
| publisher |
Animo Repository |
| publishDate |
2014 |
| url |
https://animorepository.dlsu.edu.ph/etd_bachelors/11527 |
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1772834945524301824 |