为了提高夜间道路图像质量,提升目标在图像中的可见度及对比度,降低夜间道路图像目标检测难度,提出了一种基于优化多尺度Retinex算法(MSR)的夜间道路图像增强方法.首先,将RGB图像转换到YUV色彩空间;其次,将最小可觉差(JND)的倒数作为MSR算法中入射图像的系数构建优化MSR算法,并利用该优化算法对Y通道进行亮度自适应调节,同时对U、V通道按比例调整得到新图像;然后,将得到的新图像与原始图像按照1:1比例结合以保留图像细节;最后,利用限制对比度自适应直方图均衡化方法(CLAHE)提升图像对比度,得到最终增强图像.在包含有770张夜间道路图像的数据集上开展实验,结果表明:本文方法实现了夜间道路图像亮度自适应调节,缓解了图像亮度不均匀的情况,增强了图像的清晰度,增加了图像的细节信息,利用支持向量机算法(SVM)进行前方车辆检测,漏检率、误检率分别下降了2.61％、4.35％.

白内障术后人工晶状体(IOL)在眼内长期存在,可能会受眼球内部侵袭因素的影响,发生材料的老化或变性,影响IOL的成像特性,从而降低舒适度或影响视觉质量.目前被人们广泛关注且最具争论的材料退化形式是IOL的闪辉(glistening)现象.闪辉现象是IOL内部形成了充满液体的微泡.这些随机分布在IOL内部的液泡和IOL生物材料折射率的差异,会导致眼内的光散射增加.有研究报道严重IOL闪辉的患者会出现对比敏感度(CS)和调制传递函数(MTF)下降,影响视觉性能.本文就IOL闪辉现象对视觉质量的影响进行综述,并探讨闪辉的发生机制,以期人们对IOL闪辉现象有更深刻的认识,同时为IOL制造工艺的改进提供参考依据.

白内障是目前最常见的致盲眼病,随着手术技术的提高、设备的改进和人工晶状体（Intraocular lens,IOL）种类的不断创新,白内障患者术后对视力的期望也越来越高[1]。术后获得较好的视觉质量和多种因素息息相关,如术者的手术技巧、患者眼部状态、IOL的性能[2]。其中充分了解IOL的特性,为患者选择合适的、个性化的IOL,减少IOL植入术后的并发症,将为患者带来福音。

移动网络电台更多依赖听觉进行传播,适合人们利用碎片化时间、不依赖视觉而进行学习或娱乐活动,具有独特优势和研究价值.有关移动网络电台内在传播学原理的研究尚有不足之处,文章对以往文献进行简要梳理,并提出新的理论分析方式,对其未来的发展提供了建议.

汽车智能照明系统是一种基于光照强度、能见度和会车距离的不同，对前照灯、雾灯、示廓灯、警示灯的开闭实现自动控制的系统。介绍了系统的组成原理及应用，并对控制中需要的各种传感器及相关数据阈值的标定拟定了测定方案，对系统所需要的软硬件进行了设计说明。

Instance selection is a kind of effective method to remove the noise and redundant data. According to the unbalance between the generalization ability and reduction in existing instance selection methods, this paper proposes a new instance selection method:Redundant Instance Pair Elimination(RIPE) algorithm. It gives the concept of nearest similar pair, calculates the nearest similar pair of datasets, and removes the eligible instances. The simulation experimental results in 11 different datasets show that the classification accuracy and storage compression ratio of processed dataset are obviously improved compared with original datasets. Contrasted with Edited Nearest Neighbor rule(ENN) algorithm, this algorithm can keep the classification accuracy, improve more than 35% in average storage compression ratio, keep intact the data distribution of original datasets, and make better compromise in the classification accuracy and the storage compression ratio.

Stabilizing unstable periodic points and bifurcational points of a chaotic electrical-optical bistable system were studied by means of the feedback method.Based on the relations between state and the eigenvalue of Jacobi matrix of system,the coefficient can be ascertained,and then the chaos control can be achieved.The numerical calculation result shows that this method can fulfill the stable control of different periodic points and bifurcation points.Simultaneously,with the same method we can realize the stable control of different periodic states,such as periodic points of four,eight and the others.