BUDIANTO, MARTIN (2021) Detecting Jaundice with Image Processing. Other thesis, Universitas Katholik Soegijapranata Semarang.
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Abstract
This research was conducted for how to detect jaundice using image processing, where Jaundice is a condition in which the skin, sclera (whites of the eyes) and mucous membranes turn yellow because of high bilirubin. Because if jaundice is not detected quickly it will cause kernicterus and can also cause death, My proposed method to solve this problem is by using color detection algorithm to my program with using HSV color space and kernel method as classification, while the only existing project is made by Ashish Sardana, in overcoming jaundice by using his proposed method using the YCbCR color space and Logistic regression as the classification method, where my program has an average success rate of 90% and Ashish Sardana's program is below 50% which was tested with the same 100 datasets because Ashish Sardana program failed to find right value of yellow jaundice color,so the result of his program failed to differentiate between negative or positive data.
| Item Type: | Thesis (Other) |
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| Subjects: | 000 Computer Science, Information and General Works > 004 Data processing & computer science |
| Divisions: | Faculty of Computer Science > Department of Informatics Engineering |
| Depositing User: | mr AM. Pudja Adjie Sudoso |
| Date Deposited: | 15 Oct 2021 02:28 |
| Last Modified: | 15 Oct 2021 02:28 |
| URI: | http://repository.unika.ac.id/id/eprint/27126 |
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