Saw Hui, Ann (2013) Analysis of Microscopic Blood Samples for Detecting Malaria. Faculty of Computer Systems & Software Engineering, Universiti Malaysia Pahang.
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11.ANALYSIS OF MICROSCOPIC BLOOD SAMPLES FOR DETECTING.pdf - Accepted Version Download (2MB) | Preview |
Abstract
Malaria is a mosquito-borne disease and it has been affecting millions of people worldwide since decades ago. The conventional method in diagnosing the blood disease is by using manual visual examination of microscopy blood smears. However, a computer-assisted system can be designed to assist in malaria diagnosis by employing image processing, analysis and feature recognition algorithm. In terms of enhancing image for analysis, this study explores on a new approach by averaging results of two filters. In order to evaluate the performance of the proposed method, the image was further clustered by using K-Means, Expectation Maximization (EM) and Otsu’s threshold algorithm .
| Item Type: | Undergraduates Project Papers |
|---|---|
| Additional Information: | Project paper (Bachelor of Computer Science (Graphic & Multimedia Technology) -- Universiti Malaysia Pahang - 2013. SV : DR. MOHAMMAD MASROOR AHMED, NO CD : 7656 |
| Uncontrolled Keywords: | Microscopy Technique |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Ms Suriati Mohd Adam |
| Date Deposited: | 11 Nov 2014 02:32 |
| Last Modified: | 05 Apr 2023 03:31 |
| URI: | http://umpir.ump.edu.my/id/eprint/7260 |
| Download Statistic: | View Download Statistics |
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