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中国科学院长春光学精密机械与物理研究所2. 中国科学院研究生院
收稿日期:2012-04-11,
修回日期:2012-06-05,
网络出版日期:2012-06-06,
纸质出版日期:2012-02-15
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彭毅雯, 徐伟, 罗毅, 韩彦军. TFT-LCD面影像残留改善研究[J]. 液晶与显示, 2012,27(1): 66-69
PENG Yi-wen, XU Wei, LUO Yi, HAN Yan-jun. Improvement of TFT-LCD Area Image Sticking[J]. , 2012,27(1): 66-69
针对基于CCD相机采集方式的亮度校正方法需要从采集图像中分割出每颗LED像素的亮度信息的问题,提出面积约束下的最优阈值分割法。在最优阈值分割法的基础上,根据先验信息引入面积约束条件,对阈值的取值范围进行约束。与传统的最优阈值法相比可以避免分割后LED像素区域连接的情况。面积约束下的最优阈值分割法生成采集图像的灰度直方图,利用最优阈值算法结合面积约束生成最优阈值,最后通过图像的阈值分割法将采集图像分割。实验表明,该方法可以比较好的分割出采集图像中的LED像素,并可避免当LED像素点分布密集时应用最优阈值法分割LED像素造成的区域连接问题。
In order to segment each LED pixels from the image which is acquired by CCD and is used to brightness correction
a method based on optimal threshold segmentation with area constraint has been proposed. Based on optimal threshold method
taking prior information into account,an area constraint is introduced to restrain the range of threshold. Compared with traditional method
it is well done to avoid the LED region segmented connecting together. In the optimal threshold method with area constraint,generate the histogram of the captured image,use method of optimal threshold with area constraint to acquire the optimal threshold. Finally
apply the optimal threshold to segment the captured image. Experiments demonstrate that it is good to use this method to segment the LED pixels from the captured image
and also it can avoid the segmented region of LED pixels with a dense distribution connecting together
while using optimal threshold method.
CRITCHLEY B R, BLAXTAN P W, ECKERSLEY B. Picture quality in large-screen projectors using the digital micro-mirror[J]. Society for Information Display, 2008,3(7):199-202.[2] 袁飞,黄联芬,姚彦. 基于视觉掩盖效应和奇异值分解的图像质量评测方法[J].光学精密工程,2008,16(4):703-708.YUAN F, HUANG L F, YAO Y. Image quality evaluation based on visual masking effect and singular value decomposition[J].Opt. Precision Eng, 2008,16(4):703-708. (In Chinese) [3] 常锋,孙志远,王瑞光,等. LED显示图像的非均匀度校正改进方法[J].光学精密工程,2011.19(4):929-936.CHANG F, SUN Z Y, WANG R G, et al.. Improvement of nonuniformity correction of LED display images[J] Opt. Precision Eng, 2011.19(4):929-936. (In Chinese)[4] 程万胜,赵杰,菜鹤皋. CCD像素响应非均匀的校正方法[J]. 光学精密工程, 2008,16(2):103-108.CHENG W SH, ZHAO J, CAI H G. Correction method for pixel response non-uniformity of CCD[J]. Opt. Precision Eng, 2008,16(2):103-108. (In Chinese)[5] 张鑫,王瑞光,陈宇,等. LED显示屏相机采集影像渐晕的修正[J].光学精密工程,2010,18(11):2332-2337.ZHANG X, WANG R G, CHEN Y, et al..Calibration of image vignetting acquired by camera on LED display panel[J] Opt. Precision Eng, 2010,18(11):2332-2337. (In Chinese)[6] 夏勋力,余彬海,麦镇强. 近朗伯光型LED透镜的光学设计[J].光电技术应用,2010,25(1):22-25.XIA X L, YU B H, MAI Z Q. Design on Approximate Lambertian LED Opto Lens Configuration[J]Electro-Optic Technology Application, 2010,25(1):22-25. (In Chinese)[7] 屠大维,吴仍茂,杨恒亮,等. LED封装光学结构对光强分布的影响[J].光学精密工程,2008,16(5):832-835.TU D W, WU R W, YANG H L, et al..Effect of optical structure on output light intensity distribution in LED package[J] Electro-Optic Technology, 2008,16(5):832-835. (In Chinese)[8] 章毓晋. 图像工程(中册),图像分析(第2版)[M]清华大学出版社.ZHANG Y J. Image Engineering (II), Image Analysis (Second Edition)[M] Tsinghua University Press. (In Chinese)[9] Rafael C, Richard E. Digital Image Processing Second Edition[M]Publicshing House of Electronics Industry.
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