01563nam a2200241 a 4500 vtls000077106 KUKTEM 20251114204602.0 140327t2013 my a f m 000 0 eng d THE0001858(Local) 201905131447 yusri 201403271131 Fida UMP QA76.76.D47 S29 2013 rs Bc. Saw, Hui Ann Analysis of microscopic blood samples for detecting malaria / Saw Hui Ann Kuantan, Pahang : UMP, 2013 x, 64 p. : ill. (some col.) ; 30 cm. Project paper (Bachelor of Computer Science (Graphic & Multimedia Technology) -- Universiti Malaysia Pahang - 2013 Bibliography : p.42-44 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 . Microscopy Technique 0 0 0 1 20000 20000 2019-09-04 0 QA76.76.D47 S29 2013 rs Bc. 0000078955 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 7656 | QA76.76.D47 S29 2013 rs Bc. 0000078956 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 4578 4584 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992