基于光学相关的红外目标检测

光学图像处理技术能以复振幅、并行、高速度和巨量互连来处理信号。利用光学方法的半色调网屏技术实现了红外图像的假彩色编码,提高了红外图像的可识别性;利用光学相关识别技术构造了一种基于4f系统的光学图像实时相关识别系统,以实现对红外图像的实时处理和识别。     

图像分辨率对天然纤维识别的影响

针对低分辨率图像的保真问题,提出基于轮廓曲线的邻域方向差分链码,进行曲线失真程度的分析.该方法将基于像素坐标的二维轮廓曲线转化成相对于曲线走向而变化角度函数.差分链码具有平移、拉伸和旋转不变性.根据差分链码提出分别针对于对象轮廓周长、轮廓包围面积和轮廓曲线相似性的误差统计模型,并将该模型应用于棉麻等纤维截面的显微图像在不同分辨率下外形的失真度分析,给出在图像采集时允许的最低图像分辨率的计算.     

Rotation selectivity of random phase encoding in volume holograms

We present the study of angular selectivity for holographic multiplexing based on random phase encoding by a ground glass. The rotational selectivity of the volume hologram is calculated theoretically and coincides with the experimental measurement. By controlling the parameters including rotational center, effective numerical aperture of both volume hologram and the ground glass, we can obtain different rotational selectivity applied to random phase encoding in volume holographic storage.     

基于叠栅技术的二维亚波长周期结构成像设计

用光子学方法研究了叠栅技术中,当试件光栅被拉压和旋转后,叠栅条纹的空间周期和相对于基准光栅的取向,试件光栅被拉压后的节距等相关问题。根据衍射光波的空间周期可能大于试件光栅空间周期的特点,对二维亚波长周期结构衍射成像进行了设计研究。首先,对二维亚波长周期结构衍射物进行编码,以获得包含编码光栅空间信息的均匀波;其次,使编码得到的均匀波通过光学系统,并被放大到CCD相机所能辨识的大小;再次,经解码光栅解码,滤掉编码波,最终获得二维亚波长周期结构物的空间结构信息,达到超分辨的目的。同时,对成像过程进行了较为详尽的分析,对编码器、解码器的位置以及它们相对衍射物的取向进行了设计研究,对滤波器的选择给予了必要的说明,指出了取得超分辨成像的关键。     

传统街市生活与现代物质关怀——对城市现代化进程的一点思考

现代城市的范式是使市区变成金融、商贸、娱乐中心，城市变成一座花园式城市.而传统建筑似乎成了障碍。在城市现代化进程中，如何保持城市的历史文化风貌、个性和特性显得尤为重要。     

小波与分形混合图像压缩编码

传统的分形图像编码方法,由于编码时间长,严重影响其广泛应用。提高分形图像压缩的编码速度是目前分形图像编码研究的重点。文章结合小波多尺度分析的特点,提出了基于方差的小波和分形混合编码算法。实验结果表明:本文的算法在重构图像的峰值信噪比(PSNR)略有下降的情况下,编码时间减少了98.67%和压缩比提高了4倍。     

方块编码的VB实现

方块编码是计算机编码的一种重要方法，却因为编程困难较难实现。本文给出一种用Visual Basic（VB）实现方块编码的简单方法，结果证明本方法简单、有效。     

"都市玉男"服饰文化现象探析

随着全球经济发展出现的“都市玉男”服饰文化现象，引起了社会各界的关注，成为人们讨论的热点。本文结合心理学和医学理论，试图揭露该文化形成的原因，并对其产生、发展和影响进行了分析。     

Chinese Word Boundary Ambiguity and Unknown Word Resolution Using Unsupervised Methods

An unsupervised framework to partially resolve the four issues, namely ambiguity, unknown word, knowledge acquisition and efficient algorithm, in developing a robust Chinese segmentation system is described.It first proposes a statistical segmentation model integrating the simplified character juncture model (SCJM) with word formation power.The advantage of this model is that it can employ the affinity of characters inside or outside a word and word formation power simultaneously to process disambiguation and all the parameters can be estimated in an unsupervised way.After investigating the differences between real and theoretical size of segmentation space, we apply A* algorithm to perform segmentation without exhaustively searching all the potential segmentations.Finally, an unsupervised version of Chinese word-formation patterns to detect unknown words is presented.Experiments show that the proposed methods are efficient.     

On RSA moduli with almost half of the bits prescribed

We show that using character sum estimates due to H. Iwaniec leads to an improvement of recent results about the distribution and finding RSA moduli M=pl, where p and l are primes, with prescribed bit patterns. We are now able to specify about n bits instead of about n/2 bits as in the previous work. We also show that the same result of H. Iwaniec can be used to obtain an unconditional version of a combinatorial result of W. de Launey and D. Gordon that was originally derived under the Extended Riemann Hypothesis.