基于剪枝信任度传播的手写体目标形状匹配方法

手写体识别中,目标形状的匹配是较为重要的工作.为了提高手写体目标形状的匹配速度,提出一种新的匹配方法.由于手写体目标形状的几何先验知识已知,并可以采用少量的参数进行表示,新方法采用参数化可变形模板匹配目标形状,确定其后验概率模型,并定义剪枝信任度空间,依据信任度传播算法的特性,首次将剪枝信任度传播算法应用于求解可变形模板与目标形状之间的最佳匹配.实验结果显示,在灰度图像中,对手写体目标形状的轮廓检测与定位速度显著提高.提出将剪枝信任度传播方法应用于手写体目标形状的匹配工作,能够使得目标形状填补空白,应用于相关性较为稀疏的图模型中.     

Ag掺杂LiFePO_4/C正极材料的结构及电化学性能

用真空固相反应与液相还原结合的方法,合成了锂离子电池正极材料——金属银掺杂的覆碳磷酸铁锂(LiFePO4/Ag/C),用X射线衍射、扫描电镜、循环伏安、交流阻抗等技术研究其结构、形貌及电化学性能。结果表明,该正极材料为橄榄石型晶体、类球形颗粒(粒径范围约为0.5~2.0μm);Ag掺杂能使合成的LiFePO4颗粒粒径更小、分布更均匀,有效地提高其电化学循环性能;LiFePO4/Ag/C电极0.1C倍率充放的首次放电比容量为138.2mAh/g,50次循环的放电比容量为130.1mAh/g,最高放电比容量为148.3mAh/g;LiFePO4/Ag/C正极材料具有良好的锂离子传导性能,其锂离子扩散系数(DLi+)为8.94×10-15cm2/s。     

High-contrast top-emitting organic light-emitting devices

In this paper we report on a high-contrast top-emitting organic light-emitting device utilizing a moderate-reflection contrast-enhancement stack and a high refractive index anti-reflection layer.The contrast-enhancement stack consists of a thin metal anode layer,a dielectric bilayer,and a thick metal underlayer.The resulting device,with the optimized contrast-enhancement stack thicknesses of Ni(30 nm)/MgF 2(62 nm)/ZnS(16 nm)/Ni(20 nm) and the 25-nm-thick ZnS anti-reflection layer,achieves a luminous reflectance of 4.01% in the visible region and a maximum current efficiency of 0.99 cd/A(at 62.3 mA/cm 2) together with a very stable chromaticity.The contrast ratio reaches 561:1 at an on-state brightness of 1000 cd/m 2 under an ambient illumination of 140 lx.In addition,the anti-reflection layer can also enhance the transmissivity of the cathode and improve light out-coupling by the effective restraint of microcavity effects.