Classification of pH Levels using a mobile phone
In 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 f...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2009
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| Online Access: | http://hdl.handle.net/10356/16979 |
| _version_ | 1826121588200701952 |
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| author | Vuong, Nhu Khue. |
| author2 | Chan Syin |
| author_facet | Chan Syin Vuong, Nhu Khue. |
| author_sort | Vuong, Nhu Khue. |
| collection | NTU |
| description | In 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. |
| first_indexed | 2024-10-01T05:34:40Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/16979 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:34:40Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-10356/169792023-03-03T20:23:44Z Classification of pH Levels using a mobile phone Vuong, Nhu Khue. Chan Syin Lau Chiew Tong School of Computer Engineering Centre for Multimedia and Network Technology DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences In 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. Bachelor of Engineering (Computer Engineering) 2009-05-29T02:58:51Z 2009-05-29T02:58:51Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/16979 en Nanyang Technological University 80 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences Vuong, Nhu Khue. Classification of pH Levels using a mobile phone |
| title | Classification of pH Levels using a mobile phone |
| title_full | Classification of pH Levels using a mobile phone |
| title_fullStr | Classification of pH Levels using a mobile phone |
| title_full_unstemmed | Classification of pH Levels using a mobile phone |
| title_short | Classification of pH Levels using a mobile phone |
| title_sort | classification of ph levels using a mobile phone |
| topic | DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences |
| url | http://hdl.handle.net/10356/16979 |
| work_keys_str_mv | AT vuongnhukhue classificationofphlevelsusingamobilephone |