DocumentCode :
3159886
Title :
Latex glove protein detection using maximum-minimum clustering variation technique
Author :
Ting, H.Y. ; Ong, C.S. ; Sim, K.S. ; Tso, C.P.
Author_Institution :
Fac. of Eng. & Technol., Multimedia Univ., Ayer Keroh, Malaysia
fYear :
2009
fDate :
25-26 July 2009
Firstpage :
271
Lastpage :
274
Abstract :
An improvement to previously proposed maximum-minimum variation (MMV) test for protein levels quantification is reported. The additional process is artefacts segmentation in latex glove sample by using k-means clustering algorithm. The new proposed maximum-minimum clustering variation (MMCV) technique, give significantly better results in terms of consistency and accuracy than existing methods.
Keywords :
chemical analysis; chemical sensors; proteins; rubber; artefacts segmentation; latex glove; maximum minimum clustering variation; protein detection; protein levels quantification; Animals; Biology computing; Biomedical imaging; Image segmentation; Materials testing; Protection; Proteins; Rubber; Scanning electron microscopy; Surgery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Technologies in Intelligent Systems and Industrial Applications, 2009. CITISIA 2009
Conference_Location :
Monash
Print_ISBN :
978-1-4244-2886-1
Electronic_ISBN :
978-1-4244-2887-8
Type :
conf
DOI :
10.1109/CITISIA.2009.5224200
Filename :
5224200
Link To Document :
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