Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/16979
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dc.contributor.authorVuong, Nhu Khue.-
dc.date.accessioned2009-05-29T02:58:51Z-
dc.date.available2009-05-29T02:58:51Z-
dc.date.copyright2009en_US
dc.date.issued2009-
dc.identifier.urihttp://hdl.handle.net/10356/16979-
dc.description.abstractIn this study, we present a novel and automated system for estimating human body’s pH fluids from non-calibrated camera phone images. Two approaches have been devised and their performance has also been evaluated. First approach is based on discontinuity segmentation of images using edge detection filters and second approach employs color quantization techniques to produce classification results. We have also implemented two J2ME-based prototypes to test and evaluate the performances of two proposed methods on three different mobile camera phone devices with various image resolutions. Experimental results showed that pH levels reported by the two programs are consistent with the ground truth estimation. Compared to certain existing solutions like personal pH meters, our software solution is more affordable, requires no or very little hardware infrastructure to operate, and can also be upgraded easily. In the long term, our goal is to develop more complex mobile medical solutions for personal healthcare purposes such as urinalysis by combining computer vision and mobile computing disciplines.en_US
dc.format.extent80 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University-
dc.subjectDRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciencesen_US
dc.titleClassification of pH Levels using a mobile phoneen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChan Syinen_US
dc.contributor.supervisorLau Chiew Tongen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Engineering)en_US
dc.contributor.researchCentre for Multimedia and Network Technologyen_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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