KALIBRASI NILAI PENGUKURAN PARAMETER WARNA DARI MACHINE VISION SYSTEM DENGAN COLORMETER PADA TOMAT

• Main Authors: , FEBRIAN EKA NANDA, , Dr. Rudiati Evi Masithoh, STP.,M.Dev.Tech
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2013
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/124372/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=64493
• Institution: Universitas Gadjah Mada

The purpose of this study was to calibrate the RGB existing program by comparing the results of measuring the value of the color parameter Colormeter. Color parameters were measured parameter RGB (Red, Green, Blue). Colormeter used for reasons such instruments is considered as a measurement standard colors as made by the manufacturer and is no calculation that exist within the existing system in the instrument to see sample color values. This study uses Computer Vision System (CVS) as a system to capture the image of the sample in the form of tomatoes. Tomato samples used in this study has a different maturity level of green tomatoes until the tomatoes are red. This study refers to the calibration equation of each color component, considered good if the value of R2 obtained more than 0.7 In this study, measurement of the RGB color tomato samples using CVS and Colormeter, who then made a calibration equation between the two values of the graph the relationship between the two instruments that could eventually be made interfaces readings calibrated RGB color value with the resulting color values with the results of Colormeter measurements. Calibration equations in this study were obtained from the equation y = 0.8291 x + 20.407 for color components R, y = 0.9501 x + 3.8216 for G, and y = 1.0041 x - 1.6369 for B. From the measurement results before the color calibration parameters obtained R 2 values for R = 0.7311, G = 0.9572, and B = 0.875, whereas the R 2 values obtained after calibration is R = 0.7357, G = 0.9561, and B = 0.8363. From the results of measurements performed using the SPSS statistical test with two-sided T test method with 95% confidence that the color parameter R obtained acceptable Ho because of significant data, while for the parameters G and B Ho is rejected because it has a significantly different data.