000			02041nam a2200241 a 4500
001			vtls000067834
003			KUKTEM
005			20251114204524.0
008			121219t2012 my da f m 000 0 eng d
020			_aTHE0002956(Local)
039		9	_a201905140840 _bzul _c201212191018 _dhuda _y201212191017 _zhuda
040			_aUMP
090			_aTA1637 .T45 2012 rs Bc.
100	0		_aThilageswari Sinnasamy
245	1	0	_aClarification of musk lime base on color / _cThilageswari Sinnasamy
260			_aKuantan, Pahang : _bUMP, _c2012
300			_axv, 150 p. : _bill. (some col.) ; _c30 cm. + _e1 CD-ROM
502			_aProject paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang - 2012
504			_aBibliography : p. 66-68
520	3		_aClarification of musk lime base on color can directly gain to marketing company because grading process must when it comes to exporting such materials. In the Malaysia, this type method of grading for musk lime is not used which cause imbalance in marketing as the price of the musk lime varies with the grade. Therefore, this system carried out to develop a prototype judging the musk lime maturity and to estimate the expiry date of musk lime by their color. Software development life cycle methodology was implemented in this system design by using several image processing techniques including image acquisition, image enhancement and feature extraction. Seventy four sample data of musk limes were collected during image acquisition phase in the format of RGB color image. The grading systems use a computer and capture the image of musk lime using wed cam. Then, it the background of the image removed by using averaging filtering techniques. Next, RGB color information is changed to HSV color information. The values are then being used as information for determining the maturity and estimate expiry date of musk lime.
650		0	_aImage processing _xDigital technique
999			_aVIRTUA40 _c3495 _d3501
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992