Mass Transport Based Multi-Model Color Transfer

Image editing is a hot research topic in the image processing region, and one of the most basic problems in this field is the color transfer. It modifies the color style of the target image to match the color palette of the source while preserving the content of the target. Although there exist many algorithms to deal with this problem, none of existing methods can handle all kinds of images, especially complex landscape images. In this paper, we propose a Mass Transport based color transfer method in the CIELab color space, which can generate natural transfer results for different kinds of images including landscapes. Different from previous methods using the same transfer model for all the channels, we adopt different models for the luminance channel and color channels. For the luminance channel, a global transfer method is adopted for keeping the consistence in the visual perception. For the color channels, we construct a model based on histogram and Mass Transport, which perfectly transfers the colors of all the pixels from the source to the target and simultaneously preserves the content. What is more, experiments on real images demonstrate that our approach performs favorably against most of the existing methods.     

一种基于H直方图变换的白细胞图像分割方法

对检出的大量样本细胞图像进行统计分析,发现白细胞在Wright染色后着色效果不一致时色彩分量差异的规律。通过建立数学表达模型,提出了一种基于H直方图变换的白细胞图像自动分割算法。对细胞图像的色度分量直方图进行适当变换,有效削弱了血液染色的不一致性对白细胞分割的影响,实现了白细胞胞浆区域的良好分割,实验结果验证了所提分割方法的可行性和实用性。     

一种结合小波分析与直方图的红外图像增强方法

针对传统红外图像增强算法中存在的问题,提出一种结合小波分析与直方图的红外图像增强方法.采用正交小波变换对红外图像进行处理,得到小波各层的分解系数;运用双向直方图均衡法对红外图像的低频子带小波系数进行处理,利用阈值滤波的细节系数增强法对红外图像的高频子带小波系数进行处理,经小波逆变换图像重构得到增强后的红外图像.实验结果...     

基于状态估计的混沌直扩信号联合均衡与解调

针对混沌直接序列扩频信号(以下称混沌直扩信号)通过非理想信道,利用信道和混沌直扩信号的状态方程及其均衡和解调的关联性,提出一种基于状态估计的联合均衡与解调算法.算法采用多扩展卡尔曼滤波(extended kalman filter,EKF)结构,一边对信道均衡,一边估计二进制信息码,二者互为因果,同时进行,不仅可以有效克服非理想信道所带来的多径信道畸变、加性噪声等对信号的影响,还可将掩藏在混沌直扩信号中的原始二进制信息码解调出来,比均衡和解调分离的做法更有效地利用信息,有更好的实时性.仿真结果表明,所提出的算法收敛速度快,能在信道特性未知情况下较好地抵御多径效应和噪声影响,实现了混沌直扩信号在非理想信道条件下的有效可靠传输. 关键词： 混沌直扩通信 非理想信道 联合均衡与解调算法 扩展卡尔曼滤波     

基于少模光纤的模分复用系统多输入多输出均衡与解调

针对光纤模分复用传输系统中模式耦合串扰问题, 设计并制备了一种新型少模光纤, 其较高的模式差分群延时保证各模式信道独立传输.在此基础上, 提出一种级联多输入多输出(MIMO)延时均衡算法, 进一步减少源于模式复用器和解复用器的模式串扰, 提高基于少模光纤的模分复用传输系统的传输距离和传输容量.与传统MIMO均衡算法相比, 级联MIMO延时均衡算法在没有显著增加计算复杂度的条件下, 能够应用于模式差分群延时很大的模分复用传输系统.对单信道传输速率为 40 Gbps的四相相移键控两模复用传输系统进行仿真, 经40 km少模光纤传输后, 采用级联MIMO均衡算法较普通MIMO均衡算法有1.7 dB的质量因子的提升. 仿真结果证明, 使用少模光纤和级联MIMO延时均衡算法能够有效地消除模分复用信号间的串扰, 有望在下一代大容量光纤传输系统中获得 推广应用. 关键词： 模分复用 少模光纤 模式差分群延时 多输入多输出均衡     

价电子均衡电负性及其应用

We take the contribution of all valence electrons into consideration and propose a new valence electrons equilibration method to calculate the equalized electronegativity including molec-ular electronegativity, group electronegativity, and atomic charge. The ionization potential of alkanes and mono-substituted alkanes, the chemical shift of ¹H NMR, and the gas phase proton affinity of aliphatic amines, alcohols, and ethers were estimated. All the expressions have good correlations. Moreover, the Sanderson method and Bratsch method were modified on the basis of the valence electrons equilibration theory. The modified Sanderson method and modified Bratsch method are more effective than their original methods to estimate these properties.     

卫星内无线光网络通信技术及其实现

卫星内无线光网络通信的基础在于卫星内无线光通信链路. 为保障链路质量, 必须解决适合卫星内环境的抗噪和抗多径损害等技术问题, 以及相关设备的适当重量、体积和功耗等实现问题. 其关键是结合载波和卫星环境的特性, 并配合其它卫星技术研究无线光网络通信技术. 实验表明, 在卫星内实现适应编码调制和脉冲波形技术, 无线光噪声复合消除技术、后验均衡技术和有序捆绑解调解码技术等, 点对点和点对多点高速光链路误码率达到了正常通信要求. 为进一步利用无线光属性组建高服务质量（QoS）网络, 获得高的整体通信效率奠定坚实根基.     

Electronegativity equalization method: parameterization and validation for organic molecules using the Merz-Kollman-Singh charge distribution scheme

The electronegativity equalization method (EEM) was developed by Mortier et al. as a semiempirical method based on the density-functional theory. After parameterization, in which EEM parameters A(i), B(i), and adjusting factor kappa are obtained, this approach can be used for calculation of average electronegativity and charge distribution in a molecule. The aim of this work is to perform the EEM parameterization using the Merz-Kollman-Singh (MK) charge distribution scheme obtained from B3LYP/6-31G* and HF/6-31G* calculations. To achieve this goal, we selected a set of 380 organic molecules from the Cambridge Structural Database (CSD) and used the methodology, which was recently successfully applied to EEM parameterization to calculate the HF/STO-3G Mulliken charges on large sets of molecules. In the case of B3LYP/6-31G* MK charges, we have improved the EEM parameters for already parameterized elements, specifically C, H, N, O, and F. Moreover, EEM parameters for S, Br, Cl, and Zn, which have not as yet been parameterized for this level of theory and basis set, we also developed. In the case of HF/6-31G* MK charges, we have developed the EEM parameters for C, H, N, O, S, Br, Cl, F, and Zn that have not been parameterized for this level of theory and basis set so far. The obtained EEM parameters were verified by a previously developed validation procedure and used for the charge calculation on a different set of 116 organic molecules from the CSD. The calculated EEM charges are in a very good agreement with the quantum mechanically obtained ab initio charges.     

快速均值漂移图像分割算法研究

Mean shift算法是一种搜索与样本点分布最接近模式的非参数统计方法.但它是一种迭代统计方法,要保证较高的数值计算精度需要较多的迭代次数,耗费较长的计算时间.为克服这一缺点,提出快速均值漂移图像分割算法.该算法在每次迭代时以前一次的聚类中心集合T动态地更新样本集S,并通过使用直方图缩小样本点的搜索范围进一步加快算法的收敛速度.实验结果表明该方法在保证图像分割质量的同时具有较快的收敛速度.     

基于CLAHE和开闭运算的绿色苹果图像分割

依据绿色苹果图像的自身特点,设计了一种分区域提取而后合并的图像分割方法。首先对图像进行限制对比度自适应直方图均衡化(contrast limited adaptive histogram equalization,CLAHE),增大果实和背景的颜色差,而后获取R-B色差图像,得到以光常区域为主的区域;然后用CLAHE处理后的图像进行开闭运算,提取局部极大值,得到以高亮区域为主的区域;最后将两区域合并获得完整的果实目标区域。为了验证该方法的有效性,运用Hough算法检测圆,并用相对偏差、圆心相对误差及半径相对误差三个评价指标来定量评价。试验结果表明,提取区域与果实目标区域相比,顺光下,相对偏差、圆心和半径相对误差平均值分别为3.59%,4.76%和2.60%;逆光下,三个指标的平均值分别为10.77%、16.77%、11.49%。无论是顺光还是逆光都有很好的识别效果,能满足机器人采摘果实的精确定位的要求。