Automatic detection of human parasite worm using microscopic image/ (Record no. 4026)

MARC details
000 -LEADER
fixed length control field 02189nam a2200253 a 4500
001 - CONTROL NUMBER
control field vtls000074614
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251114204543.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130923t2012 my a f m 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0007087(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201906131102
Level of effort used to assign nonsubject heading access points hanafiah
Level of effort used to assign subject headings 201309241659
Level of effort used to assign classification training
Level of effort used to assign subject headings 201309231555
Level of effort used to assign classification training
-- 201309231552
-- training
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) TK8315 .R87 2012 rs Bc.
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Rushdina Roslan
245 10 - TITLE STATEMENT
Title Automatic detection of human parasite worm using microscopic image/
Statement of responsibility, etc. Rushdina Roslan
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2012
300 ## - PHYSICAL DESCRIPTION
Extent xv, 46 p. :
Other physical details ill. (some col.) ;
Dimensions 30 cm. +
Accompanying material 1 CD-ROM
502 ## - DISSERTATION NOTE
Dissertation note Project paper (Bachelor of Electrical Engineering (electronics)) -- Universiti Malaysia Pahang - 2012
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography : p. 36-38
520 3# - SUMMARY, ETC.
Summary, etc. This project investigates about the development of automatic detection of egg of human parasites using microscopic images. The MATLAB software is the tool to analyse the image processing technique applied in this research. The stages of image processing technique are image acquisition, processing, classification and testing. The input image is a microscopic image with three different resolutions. The experiment parasites are found in faecal samples provided by doctor at HUSM. This project had been categorized the two types of parasites worm which is Roundworm, Ascaris Lumbricoides and Whipworm, Trichuris Trichiura. The identification of the parasites is based on its eggs roundness, shape and smoothness characteristics. The MATLAB software recognized the types of parasite based on classification that had been done before. The image processing used are edge detection, filling, morphological operation and others. The image of egg parasite will be expected to appear without other subjects inside result image. This project will give benefit to biomedical industry and human health as it acts as a specialist to acknowledge a patient’s condition by the existence of types of parasite living in one’s body.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Microscopy
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Imaging systems
Holdings
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 PEKAN UMPLIB PEKAN 04/09/2019   TK8315 .R87 2012 rs Bc. 0000071450 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   CD 6708 | TK8315 .R87 2012 rs Bc. 0000071451 04/09/2019 1 04/09/2019 Final Year Report

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