液晶与显示Issue(5)：857-863,7.DOI:10.3788/YJYXS20153005.0857
基于ε-支持向量回归机的背光源亮度均匀性评价方法
Luminance uniformity evaluation for backlight based onε-support vector regression
摘要
Abstract
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.关键词
光学检测/背光源/CCD/ε-SVRKey words
optical detection/backlight/CCD/ε-SVR分类
信息技术与安全科学引用本文复制引用
宋悦,林志贤,姚剑敏,郭太良..基于ε-支持向量回归机的背光源亮度均匀性评价方法[J].液晶与显示,2015,(5):857-863,7.基金项目
国家863重大专项(No．2013AA030601) （No．2013AA030601）
国家自然科学基金(No．61101169,No．61106053) （No．61101169,No．61106053）
福建省教育厅(省属高校专项)(No．JK2014002) （省属高校专项）
