液晶与显示2017，Vol.32Issue(7)：553-559,7.DOI:10.3788/YJYXS20173207.0553
液晶屏线路中导电粒子压合的自动光学检测研究
Detection of conducting particles bonding in the circuit of liquid crystal display
摘要
Abstract
By counting and locating anisotropic conductive film (ACF) particles in the circuit of thin film transistor liquid crystal display (TFT-LCD), it can determine the circuit′s conductivity.In order to solve the overlap problem caused by density increasing of particles in narrow bezel, we put forward a algorithm based on differential interference contrast (DIC) imaging, the algorithm integrates mask method and k-means clustering detection algorithm.After separating particles of bright and shadow, we can effectively segment the particles by judging the entropy of image and the convexity of particles.The value of clustering cluster is discussed, and comparing with the previous method based on gradient and gray level, we test the samples of different particle density and particle size with our proposed algorithm.It indicates that in the case of circuit with the lower particle density, the recognition rate of our method can reach 92.6%, in the area with the higher particle density, the recognition rate can also reach 86%, it is higher than the recognition rate of method combined gradient and gray respectively by 9.9% and 42.7%.The proposed algorithm is also more robust to the light field and the imaging effect.关键词
异向导电胶膜/粒子重叠/k均值/图像熵/凸性Key words
anisotropic conductive film/particle overlap/k-means/image entropy/convexity分类
信息技术与安全科学引用本文复制引用
陈玉叶,肖可,郭振雄,何俊杰,刘畅,陈松岩..液晶屏线路中导电粒子压合的自动光学检测研究[J].液晶与显示,2017,32(7):553-559,7.基金项目
福建省高校产学合作项目(No.2016H6026)Supported by Programs for Industry-university Cooperation of Fujian Province, China(No.2016H6026) （No.2016H6026）
