液晶与显示
液晶與顯示
액정여현시
Chinese Journal of Liquid Crystals and Displays
2015年
5期
857-863
,共7页
宋悦%林志贤%姚剑敏%郭太良
宋悅%林誌賢%姚劍敏%郭太良
송열%림지현%요검민%곽태량
光学检测%背光源%CCD%ε-SVR
光學檢測%揹光源%CCD%ε-SVR
광학검측%배광원%CCD%ε-SVR
optical detection%backlight%CCD%ε-SVR
针对现有传统亮度计采集背光源亮度的检测方法用时长,不适于生产线的问题,提出一种基于ε-支持向量回归机的背光源亮度均匀性评价方法。设计了背光源亮度均匀性检测平台,采用 CCD 图像传感器一次性同时获得几个背光源亮度图像,并进行校正。通过在非线性条件下的ε-支持向量回归机(ε-SVR)对校正后得到的背光源检测点亮度值构建关于背光源亮度值的预测模型,并对若干个背光源进行预测,与检测标准相比较判断其亮度是否合格。结果表明,在构建的支持向量回归模型中多种参数的融合检测,其精度是相似的。其中,最佳预测结果 RMSE 为43.28,BR 为1.21%。说明预测结果与传统亮度计的测量值之间误差较小,但操作方便、且所用时间更短,对于背光源亮度均匀性的客观评价与亮度计评价结果基本符合。
針對現有傳統亮度計採集揹光源亮度的檢測方法用時長,不適于生產線的問題,提齣一種基于ε-支持嚮量迴歸機的揹光源亮度均勻性評價方法。設計瞭揹光源亮度均勻性檢測平檯,採用 CCD 圖像傳感器一次性同時穫得幾箇揹光源亮度圖像,併進行校正。通過在非線性條件下的ε-支持嚮量迴歸機(ε-SVR)對校正後得到的揹光源檢測點亮度值構建關于揹光源亮度值的預測模型,併對若榦箇揹光源進行預測,與檢測標準相比較判斷其亮度是否閤格。結果錶明,在構建的支持嚮量迴歸模型中多種參數的融閤檢測,其精度是相似的。其中,最佳預測結果 RMSE 為43.28,BR 為1.21%。說明預測結果與傳統亮度計的測量值之間誤差較小,但操作方便、且所用時間更短,對于揹光源亮度均勻性的客觀評價與亮度計評價結果基本符閤。
침대현유전통량도계채집배광원량도적검측방법용시장,불괄우생산선적문제,제출일충기우ε-지지향량회귀궤적배광원량도균균성평개방법。설계료배광원량도균균성검측평태,채용 CCD 도상전감기일차성동시획득궤개배광원량도도상,병진행교정。통과재비선성조건하적ε-지지향량회귀궤(ε-SVR)대교정후득도적배광원검측점량도치구건관우배광원량도치적예측모형,병대약간개배광원진행예측,여검측표준상비교판단기량도시부합격。결과표명,재구건적지지향량회귀모형중다충삼수적융합검측,기정도시상사적。기중,최가예측결과 RMSE 위43.28,BR 위1.21%。설명예측결과여전통량도계적측량치지간오차교소,단조작방편、차소용시간경단,대우배광원량도균균성적객관평개여량도계평개결과기본부합。
The traditional luminance meter takes too much time to detect the backlight luminance so that it is hard to take bulk-production in the engineering practice.To solve these problems,the paper puts forward an evaluation method of backlight luminance uniformity based onε-support vector re-gression.A backlight luminance uniformity testing platform is designed.First of all,a CCD image sensor is used in a single shot to get a digital image of several backlights,and the image is corrected. Secondly usesε-support vector regression (ε-SVR)in the condition of nonlinear to test the luminance values of check points in backlights,and forecast the real luminance values of backlights.At last,it is compared with the testing standard to judge whether the backlights are qualified.The results show that the fusion of parameters can be tested in the constructed support vector regression.And their ac-curacy shows good similarity.RMSE of the best prediction is 43.28,BR is 1.21%.The error be-tween the predicted results and these results of the measurements of the traditional luminance meter is much less,and it is easy to operate.The evaluation results of luminance meter are accorded with the method of the objective evaluation of the backlight luminance uniformity.