Analysis of microscopic blood samples for detecting malaria / (Record no. 4578)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01563nam a2200241 a 4500 |
| 001 - CONTROL NUMBER | |
| control field | vtls000077106 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251114204602.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140327t2013 my a f m 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | THE0001858(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] | |
| Level of rules in bibliographic description | 201905131447 |
| Level of effort used to assign nonsubject heading access points | yusri |
| -- | 201403271131 |
| -- | Fida |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) | |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | QA76.76.D47 S29 2013 rs Bc. |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Saw, Hui Ann |
| 245 10 - TITLE STATEMENT | |
| Title | Analysis of microscopic blood samples for detecting malaria / |
| Statement of responsibility, etc. | Saw Hui Ann |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Kuantan, Pahang : |
| Name of publisher, distributor, etc. | UMP, |
| Date of publication, distribution, etc. | 2013 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | x, 64 p. : |
| Other physical details | ill. (some col.) ; |
| Dimensions | 30 cm. |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Project paper (Bachelor of Computer Science (Graphic & Multimedia Technology) -- Universiti Malaysia Pahang - 2013 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography : p.42-44 |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | 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 . |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Microscopy |
| General subdivision | Technique |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Not lost | Not for loan | UMPLIB GAMBANG | UMPLIB GAMBANG | 04/09/2019 | CD 7656 | QA76.76.D47 S29 2013 rs Bc. | 0000078956 | 04/09/2019 | 1 | 04/09/2019 | Final Year Report | |||
| Not lost | Not for loan | UMPLIB PEKAN | UMPLIB PEKAN | 04/09/2019 | QA76.76.D47 S29 2013 rs Bc. | 0000078955 | 04/09/2019 | 1 | 04/09/2019 | Final Year Report |