本論文提出一個校正色度座標的程式,藉由少數量測色度樣品研究,研究誤差校正方法,並選擇以平均色誤差最小值的方法為儀器校正,建構一套有效及預測的校正程序。文中應用中位數及平均數等工程統計方法校正實驗取得之色度座標。藉由觀察色度座標上校正點到正確點的距離與估算色誤差的關係,我們所設計的七種校正法中最佳可使色誤差平均值降至0.034,色度坐標x值的誤差平均值最小可修正至6.3%,y值的誤差平均值最小可修正至7.4%,校正後色度座標的精確度最佳可修正至72%,結論顯示以色誤差平均數(斜率中位數)校正法修正實驗值,可得到最佳化的校正值。 利用七種校正方法,撰寫LabVIEW軟體,設計出LED色度座標量測校正程式,找出色誤差平均值最小的校正方法,利用此法為量測儀器校正及成立預測模式。為了能夠精確量測LED元件,本研究選用積分球架設均勻測光環境,同時加入光譜儀、色彩感測器和資料擷取設備,配合電腦軟體控制,組合出 LED光電量測機構。量測時先將LED通電發光,經由色彩感測器感應顏色,並產生微小電流,再將此訊號經由放大電路放大後,傳至資料擷取卡,並以PC為介面,來處理運算。使人機介面自動化光電量測系統增加校正模式及預測模式,如此將可強化自動化量測的功能。
In this paper, we propose a procedure to adjust the chromatic coordinates by using a few samples of the color measurement coordinate to do the error correction and choose the correction method of minimum color error difference average to be the procedure of measuring instruments, and to construct an efficient and predictable calibration procedure. This reasearch adopts some engineering statistics methods, such as median and average methods, and corrects the experiments to obtain the chromaticity coordinates. Through observing the distance from the calibrated points to the correct points on the chromaticity coordinates and estimating the relation of color errors, the reseacher finds that the central-point calibration gets average value of the color errors as 0.039, while the seven calibration methods that we designed lower the average value of the color errors as 0.034. Moreover, the minimum average value of errors in the X-axis could be revised to 6.3% while the minimum average value of errors in the Y-axis 7.4%. The accuracy of best calibrated chromaticity coordinates could achieve to the percentage 72%. The experiment result shows that using the color error average calibration method to revise the experiment value obtains best calibrated value. By using the seven kinds of calibration methods and writing the LabVIEW softwares, we could design the LED chromaticity coordinate calibration program, find out the best calibration method with the minimum color errors, and then use this method to do the instrumental measurements and construct the prediction modes. In order to precisely measure the LED device, this research adopts the integrating sphere to set up the uniform light measuring environment as well as the spectrometer, color sensors and data acquisition equipments to assemble the LED optoelectronic measurement mechanism. First, we power up the LED then the color sensor senses the colors and produce a small current. Later, the signal will be amplified by the amplifing current set and sent to a data catcher. This conducts the calculating through PC as the interface, which enables the human-PC interface automatic optoelectronic measuring instruments to enhance the calibration and prediction function and to enforce the functions of automatic measurements.