Radon变换在低信噪比图像中的线段检测

Radon变换在数学理论上有重要价值,并可用于图像直线特征的提取,但是在检测线段时,Radon变换无法提供线段的端点以及长度信息,低信噪比时检测难度加大。探讨了Radon变换在低信噪比图像特征检测的适用性,分析了Radon变换的优势与不足,并从信息融合的角度出发,提出了Radon变换补充的应用策略,对低信噪比的机场跑道图像进行了验证,显示出较好的检测效果。     

图像边缘检测在关节镜图像处理中的应用

主要论述了采用图像边缘检测和图像跟踪算法对采集的关节镜图像进行图像处理和分析的过程。在图像处理的基础上，系统自动测量出指定目标的形状参数，实现了系统的测量要求。本研究为实现关节镜手术过程图像的保存和手术的准确性提供了可行的方法。     

带有块间串扰MC-CDMA的时域信道估计和多用户检测

本文把带有IBI的MC-CDMA系统等效解释为特殊的直接序列码分多址（DS-CDMA）系统，并给出了相应的时域信道估计方法和时域线性最小均方误差（MMSE）多用户检测方法。仿真实验表明了本文方法的性能。     

Concurrent error detection of fault-based side-channel cryptanalysis of 128-bit RC6 block cipher

Fault-based side channel cryptanalysis is very effective against symmetric and asymmetric encryption algorithms. Although straightforward hardware and time redundancy based concurrent error detection (CED) architectures can be used to thwart such attacks, they entail significant overhead (either area or performance). In this paper we investigate two systematic approaches to low-cost, low-latency CED for symmetric encryption algorithm RC6. The proposed techniques have been validated on FPGA implementations of RC6, one of the advanced encryption standard finalists.     

智能化原油及可燃气体泄漏监控系统

原有的可燃气体检测报警仪在技术上无法准确监控现场可能发生的原油或可燃气体的泄漏。为了保证油库的安全生产和科学管理，开发并应用适合油库的原油及可燃气体泄漏监控系统，具有重要意义。文章介绍了如何根据实际需要，应用工业控制计算机和仪表技术，开发智能化原油(可燃液体)及可燃气体泄漏监控系统。该监控系统已推广应用于大型油库及其它石化生产企业。实际应用证明，系统对各种可燃气体及液体泄漏均有很好的监控作用。     

UCT测井技术在河南油田的应用

介绍了超声波固井质量检测仪(UCT)的原理、结构及测井方法，分析了UCT测井资料的应用情况。实践表明，UCT能准确地探测套管腐蚀，直观评价水泥与套管、水泥与地层一、二界面的胶结质量。     

油田热采注汽管道在线检测技术现状

稠油热采注汽管道由于长期在高温、高压下运行,极易发生各种损伤,如腐蚀、裂纹、材料退化等,极易造成管道承压能力降低,发生失效事故。如何检测出潜在危险性缺陷,判断注汽管道能否继续使用,是保证注汽管道安全运行的关键问题。探讨了高温压力管道在线检测技术发展现状及其应用范围。     

4-氨基-3-肼基-5-巯基-1,2,4-三唑的合成及其对醛的检验

以硫脲和水合肼合成了可用于检验醛的试剂——4-氨基-3-肼基-5-巯基-1，2，4-三唑(别名：紫醛)，其结构通过红外光谱、核磁进行了确定。试验表明，紫醛对醛的检验敏感、专一、快速、操作简单。     

Pedestrian detection and tracking in infrared imagery using shape and appearance

In this paper, we present an approach toward pedestrian detection and tracking from infrared imagery using joint shape and appearance cues. A layered representation is first introduced and a generalized expectation-maximization (EM) algorithm is developed to separate infrared images into background (still) and foreground (moving) layers regardless of camera panning. In the two-pass scheme of detecting pedestrians from the foreground layer: shape cue is first used to eliminate non-pedestrian moving objects and then appearance cue helps to locate the exact position of pedestrians. Templates with varying sizes are sequentially applied to detect pedestrians at multiple scales to accommodate different camera distances. To facilitate the task of pedestrian tracking, we formulate the problem of shot segmentation and present a graph matching-based tracking algorithm that jointly exploits the shape, appearance and distance information. Experimental results with both OSU Infrared Image Database and WVU Infrared Video Database are reported to demonstrate the accuracy and robustness of our algorithm.     

Signature analysis and defect detection in layered manufacturing of ceramic sensors and actuators

This paper presents the concept of a process signature for the use of online signature analysis and defect detection in the layered manufacturing (LM) of ceramic sensors and actuators. To achieve the high quality of parts built by the fused deposition of ceramics (FDC), an online process-monitoring system is implemented to detect the processing defects. Using a process signature extracted from the image of a layer captured by the monitoring system, an ideal image is created that is then compared to the original image to detect and identify the defects. Some results of signature analysis and defect detection for single-material and multi-material parts are also presented.Received: 22 July 1999, Accepted: 21 October 2001, Published online: 29 October 2003 Correspondence to: Mohsen A. JafariThis work was supported by the Office of Naval Research under grant # N-0014-96-1-1175. Ref. US Patent # S-5738817, April 14, 1998.