000			02050nam a2200265 a 4500
001			vtls000054818
003			KUKTEM
005			20251114204459.0
008			110718t2010 my a f m 000 0 eng d
020			_aTHE0005973(Local)
039		9	_a201905141626 _baida _c201107181456 _dida _y201107181456 _zida
040			_aUMP
090			_aTA1637 .M375 2010 rs Bc.
100	0		_aMariati Sabah
245	1	0	_aVision checking system for labelling inspection / _cMariati Sabah
246	3		_aVision checking system for labelling inspection _h[computer file]
260			_aKuantan, Pahang : _bUMP, _c2010
300			_axii, 54 p. : _bill. (some col.) ; _c30 cm. + _e1 computer disc
502			_aProject paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010
504			_aBibliography : p. 46-47
520	3		_aThis project is to present the efficient vision checking system for labeling inspection. But in this daily life, most of the factory and production produces a lot of product with error on the labeling due to the human inspection. In this project, the system is to detect the labeling error due to the printing problem. The method being used in this project is a digital image processing which is Image Subtraction Operation. The picture was processing by converting an original picture, obtained by taking a photograph of the good product and also the reject one into the gray scale format. The simulation of this inspection will be done by using the Matlab software. The system will judge a pass or rejection of the inspection target sample based on the generated inspection picture and the statistical value of the subtraction image. From the analysis of the results it shows that there are 50 original images and 50 defect images. Then, the system can be categories as an efficient system
650		0	_aImage processing _xDigital technique
650		0	_aGraphical user interfaces (Computer systems)
999			_aVIRTUA40 _c2769 _d2775
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*9992