Background-subtraction using contour-based fusion of thermal and visible imagery

We present a new background-subtraction technique fusing contours from thermal and visible imagery for persistent object detection in urban settings. Statistical background-subtraction in the thermal domain is used to identify the initial regions-of-interest. Color and intensity information are used within these areas to obtain the corresponding regions-of-interest in the visible domain. Within each region, input and background gradient information are combined to form a Contour Saliency Map. The binary contour fragments, obtained from corresponding Contour Saliency Maps, are then fused into a single image. An A^* path-constrained search along watershed boundaries of the regions-of-interest is used to complete and close any broken segments in the fused contour image. Lastly, the contour image is flood-filled to produce silhouettes. Results of our approach are evaluated quantitatively and compared with other low- and high-level fusion techniques using manually segmented data.     

高功率激光焊接光致等离子体的检测

系统地归纳了高功率激光焊接过程中光致等离子体的声、光、电、热等四种特征信号,综述了国外在等离子体信号检测方面的试验方法及研究进展,分析了未来的发展趋势。     

A fast digital Radon transform—An efficient means for evaluating the Hough transform

A fast digital Radon transform based on recursively defined digital straight lines is described, which has the sequential complexity of N² log N additions for an N × N image. This transform can be used to evaluate the Hough transform to detect straight lines in a digital image. Whilst a parallel implementation of the Hough transform algorithm is difficult because of global memory access requirements, the fast digital Radon transform is vectorizable and therefore well suited for parallel computation. The structure of the fast algorithm is shown to be quite similar to the FFT algorithm for decimation in frequency. It is demonstrated that even for sequential computation the fast Radon transform is an attractive alternative to the classical Hough transform algorithm.     

Concealed weapon detection and visualization in a synthesized image

Images acquired by heterogeneous image sensors may provide complementary information about the scene, for instance, the visual image can provide personal identification information like the facial pattern while the infrared (IR) or millimeter wave image can detect the suspicious regions of concealed weapons. Usually, a technique, namely multiresolution pixel-level image fusion is applied to integrate the information from multi-sensor images. However, when the images are significantly different, the performance of the multiresolution fusion algorithms is not always satisfactory. In this study, a new strategy consisting of two steps is proposed. The first step is to use an unsupervised fuzzy k-means clustering to detect the concealed weapon from the IR image. The detected region is embedded in the visual image in the second step and this process is implemented with a multiresolution mosaic technique. Therefore, the synthesized image retains the quality comparable to the visual image while the region of the concealed weapon is highlighted and enhanced. The experimental results indicate the efficiency of the proposed approach.This material is based on part of the work carried out at the SPCR laboratory of Lehigh University and the work is partially supported by the U. S. Army Research Office under grant number DAAD19-00-1-0431. The content of the information does not necessarily reflect the position or the policy of the federal government, and no official endorsement should be inferred.     

调制式光纤甲烷气体传感器的研究

利用Fabry-Perot腔的选频特性，考虑与光纤的低损耗窗口相一致和价格等因素，以价廉的1300nm波段的LED作为光源，实现了PZT对Fabry-Perot腔的正弦调制；对甲烷气体浓度进行谐波检测，检测灵敏度可达10ppm。研究表明，该传感器灵敏度和稳定性大大提高。     

A method for quantifying cell size from differential interference contrast images: validation and application to osmotically stressed chondrocytes

An automatic image analysis method was developed to determine the shape and size of spheroidal cells from a time series of differential interference contrast (DIC) images. The program incorporates an edge detection algorithm and dynamic programming for edge linking. To assess the accuracy and working range of the method, results from DIC images of different focal planes and resolutions were compared to confocal images in which the cell membrane was fluorescently labelled. The results indicate that a 1‐µm focal drift from the in‐focus plane can lead to an overestimation of cell volume up to 14.1%, mostly due to shadowing effects of DIC microscopy. DIC images allow for accurate measurements when the focal plane lies in a zone slightly above the centre of a spherical cell. In this range the method performs with 1.9% overall volume error without taking into account the error introduced by the representation of the cell as a sphere. As a test case, the method was applied to quantify volume changes due to acute changes of osmotic stress.     

智能型可控硅低频电源系统中的零电流检测电路

在矿井提升系统中,低频电源被广泛应用于提升的减速、爬行阶段,大大地提高了提升系统的运行效率和安全性。简单介绍了智能型可控硅低频电源系统的工作原理,并主要针对系统中的零电流检测问题,应用高速光耦合元件6N137设计了零电流检测电路,给出了高速光耦合元件6N137的结构和工作原理。该电路缩短了检测的时间,并提高了检测的准确性,使系统的输出性能得到很大的改善。     

NaI多道脉冲幅度分析系统在燃料元件破损监测中的应用研究

介绍了船用堆燃料元件破损监测中较常用的两种方法.通过分析其缺陷,提出了用NaI多道脉冲幅度分析系统测量特征核素(131I、137Cs)的方法,有效避免了监测中的干扰因素的影响,降低了定量监测中的误报率,提高了燃料元件破损监测的效率和置信度.     

免棱镜全站仪在桥梁检测中的应用

在公路桥梁施工过程中,每一项结构工程实体（桩、承台、柱）完成后,都要及时进行检测、验收.工作量大、危险性高、操作不方便,给工程检测工作带来很大的困难.本文结合几年来工程施工检测经验,利用免棱镜全站仪的功能,对实体工程中心坐标的检测和验收,提出了一种新方法,该方法简单,实用价值高,取得了良好经济效益.     

水下成像的现状和发展动向

本文以下水成像在军事，海洋开发工程应用为基础，论述了水下观测和成像中采用微光电视摄像机和激光器件及其系统的技术现状和发展动向。