000 02189nam a2200253 a 4500
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003 KUKTEM
005 20251114204543.0
008 130923t2012 my a f m 000 0 eng d
020 _aTHE0007087(Local)
039 9 _a201906131102
_bhanafiah
_c201309241659
_dtraining
_c201309231555
_dtraining
_y201309231552
_ztraining
040 _aUMP
090 _aTK8315 .R87 2012 rs Bc.
100 0 _aRushdina Roslan
245 1 0 _aAutomatic detection of human parasite worm using microscopic image/
_cRushdina Roslan
260 _aKuantan, Pahang :
_bUMP,
_c2012
300 _axv, 46 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD-ROM
502 _aProject paper (Bachelor of Electrical Engineering (electronics)) -- Universiti Malaysia Pahang - 2012
504 _aBibliography : p. 36-38
520 3 _aThis 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 _aMicroscopy
650 0 _aImaging systems
999 _aVIRTUA40
_c4026
_d4032
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992