Medical tablets identification algorithm
Identifying tablets is very important in the medical world. Many tablets are similar in colour and shape, and it is difficult to identify them through the human eye. Therefore in this paper, an algorithm is developed to aid in the identification of the existing tablets, mainly focusing on using the...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/78228 |
| _version_ | 1811680939380572160 |
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| author | Ng, Joann Xin Chi |
| author2 | Ser Wee |
| author_facet | Ser Wee Ng, Joann Xin Chi |
| author_sort | Ng, Joann Xin Chi |
| collection | NTU |
| description | Identifying tablets is very important in the medical world. Many tablets are similar in colour and shape, and it is difficult to identify them through the human eye. Therefore in this paper, an algorithm is developed to aid in the identification of the existing tablets, mainly focusing on using the colour and shape of the unknown tablet.
Matric Laboratory (MATLAB) is used to code the algorithm. A database is created based on approximately 200 samples. The algorithm was designed to analyse the colour and the shape of an unknown tablet and match it to the database sample.
Points are allocated to each individual database sample that matches the colour and/or shape of the unknown tablet. The algorithm will then identify the top 10 database samples with the highest points. From the top 10 results, the database samples with the highest score will serve as an indication of the unknown tablet.
The algorithm is successful to a certain extent in indentifying an unknown tablet based only on the colour and shapes. However, there are different features of the tablets such as wording and size to be considered as well. In this paper, further investigation was also carried out to enhance the algorithm while implementing the wording and size detection methods.
Finally some challenging issues are raised for further researches. |
| first_indexed | 2024-10-01T03:33:01Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/78228 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:33:01Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/782282023-07-07T16:59:37Z Medical tablets identification algorithm Ng, Joann Xin Chi Ser Wee School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Identifying tablets is very important in the medical world. Many tablets are similar in colour and shape, and it is difficult to identify them through the human eye. Therefore in this paper, an algorithm is developed to aid in the identification of the existing tablets, mainly focusing on using the colour and shape of the unknown tablet. Matric Laboratory (MATLAB) is used to code the algorithm. A database is created based on approximately 200 samples. The algorithm was designed to analyse the colour and the shape of an unknown tablet and match it to the database sample. Points are allocated to each individual database sample that matches the colour and/or shape of the unknown tablet. The algorithm will then identify the top 10 database samples with the highest points. From the top 10 results, the database samples with the highest score will serve as an indication of the unknown tablet. The algorithm is successful to a certain extent in indentifying an unknown tablet based only on the colour and shapes. However, there are different features of the tablets such as wording and size to be considered as well. In this paper, further investigation was also carried out to enhance the algorithm while implementing the wording and size detection methods. Finally some challenging issues are raised for further researches. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-13T07:59:39Z 2019-06-13T07:59:39Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78228 en Nanyang Technological University 55 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Ng, Joann Xin Chi Medical tablets identification algorithm |
| title | Medical tablets identification algorithm |
| title_full | Medical tablets identification algorithm |
| title_fullStr | Medical tablets identification algorithm |
| title_full_unstemmed | Medical tablets identification algorithm |
| title_short | Medical tablets identification algorithm |
| title_sort | medical tablets identification algorithm |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/78228 |
| work_keys_str_mv | AT ngjoannxinchi medicaltabletsidentificationalgorithm |