标准互相关的灰度无关特性及其应用

对用于图像特征定位的标准互相关算子灰度无关特性展开了研究.由于在显微视觉中的大多数图像灰阶较低,接近于三值甚至二值图像;可籍此灰度无关特性对模板匹配的算法进行优化.实验结果表明,标准互相关的灰度无关特性可以在实际中指导设计模板图像,降低相关运算计算速度,以及指导改善照明条件.     

LD端面泵浦腔内倍频Yb:YAG绿光激光器

报道了一种激光二极管(LD)端面泵浦10at%掺杂Yb:YAG激光晶体(4×4×1mm)和Ⅰ类临界相位匹配LBO的腔内倍频全固态绿光激光器.为了克服"绿光问题",采用了两个激光二极管偏振耦合系统.在双路泵浦功率为1.2W时,获得最高功率为40mW525nm的连续基模激光输出.在腔内插入Cr4+:YAG饱和吸收体被动调Q,在泵浦功率为1.2W时,可以获得平均功率为5.2mW,脉冲重复频率为2.44kHz,脉冲宽度为51.5ns,峰值功率为41.7W的515nm脉冲激光输出.输出波长发生变化,而且515nm脉冲激光输出的阈值仅为728mW.     

基于特征点及优化理论的图像自动拼接方法

提出了一种新的图像拼接方法,首先利用相位一致性(phase congruency)算法进行特征点检测,利用本文提出的匹配点优选策略进行特征点对自动选取,然后用LM(Levenberg-Marquardt)算法进一步优化变换矩阵,最后对拼接结果进行融合处理,获得无缝拼接的图像.该方法把基于特征点和基于优化理论的拼接方法有效相结合,且能充分利用图像重叠部分的信息,在一定程度上克服了噪声及光照不均的影响,较传统方法具有更强的鲁棒性和更高的拼接精确度.试验结果证明了该方法的有效性.     

一种基于单元信息熵的目标匹配改进算法

为解决图像信息熵无法有效进行图像匹配的问题,将图像单元信息熵和投影特征相结合,定义了图像单元信息熵,并提出了一种基于单元投影信息熵的图像匹配方法.在单元信息熵的基础上,在各个单元格内进行单元信息熵投影计算,然后按照一定的测度进行计算,从而实现图像的匹配.采用网格分层的搜索算法,加快搜索速度,提高其工程实用性.实验证明:该算法具有良好的抗几何失真能力和抗辐射失真的能力,以及很好的抗噪声干扰的能力,可以准确的进行目标匹配.     

A robust photometric calibration framework for projector-camera display system

A novel photometric calibration framework is presented for a projector-camera （ProCam） display system, which is currently under booming development. Firstly, a piecewise bilinear model and five 5-ary color coding images are used to construct the homography between the image planes of a projector and a camera. Secondly, a photometric model is proposed to describe the data flow of the ProCam display system for displaying color images on colored surface in a general way. An efficient self-calibration algorithm is correspondingly put forward to recover the model parameters. Aiming to adapt this algorithm to different types of ProCam display system robustly, a 3× 7 masking coupling matrix and a patches image with 1024 color samples are adopted to fit the complex channel interference function of the display system. Finally, the experimental results demonstrate the validity and superiority of this calibration algorithm for the ProCam display system.     

Influence of laser mode on splitting beam illumination effect of Dammann grating

The influences of various laser modes on the splitting beam effect of Dammann grating are studied in theory and by numerical simulation. The results show that fundamental mode laser resembles plane wave while high order mode laser differs from plane wave in the splitting beam effect by Dammann grating. Therefore, the fundamental mode laser is more suitable to be the light source to improve the energy efficiency in far-distance image detecting systems, such as laser image ladar, which use Dammann grating in the ilhlmination svstem.     

Image composition with color harmonization

Image matting and color transfer are combined to achieve image composition. Firstly, digital matting is used to pull out the region of interest. Secondly, taking color harmonization into account, color transfer techniques are introduced in pasting the region onto the target image. Experimental results show that the proposed approach generates visually pleasing composite images.     

Bridge recognition of median-resolution SAR images using pun histogram entropy

A novel algorithm for bridge recognition of median synthetic aperture radar （SAR） images using histogram entropy presented by Pun is proposed. Firstly, Lee filter and histogram proportion are used to denoise the original image and to make the target evident. Then, water regions are gained through histogram segmentation and the contours of water regions axe extracted. After these, the potential bridge targets are obtained based on the space relativity between bridges and water regions using improved contour search. At last, bridges are recognized by extracting the feature of Pun histogram entropy （PHE） of these potential bridge targets. Experimental results show the good qualities of the algorithm, such as fast speed, high rate of recognition, and low rate of false target.     

Target tracking in infrared imagery using a novel particle filter

To address two challenging problems in infrared target tracking, target appearance changes and unpre- dictable abrupt motions, a novel particle filtering based tracking algorithm is introduced. In this method, a novel saliency model is proposed to distinguish the salient target from background, and the eigenspace model is invoked to adapt target appearance changes. To account for the abrupt motions efficiently, a two- step sampling method is proposed to combine the two observation models. The proposed tracking method is demonstrated through two real infrared image sequences, which include the changes of luminance and size, and the drastic abrupt motions of the target.     

近失速状态下压气机静子通道内的三维流动

本文综合运用体式激光粒子图像测速技术和油流显示技术研究了近失速状态下压气机静子通道内部的复杂三维流动,建立了静叶通道内部三维流动结构模型,并分析了典型流动结构的产生、发展和演化机制.实验结果表明,在近失速状态,近叶通道出现了两个截然不同的分离区-吸力面近机匣角区分离(7%～50%弦长,闭式分离)和吸力面近轮毂角区分离(50%弦长以后,开式分离),以及一些复杂的流向旋涡流动结构.