基于LabVIEW Vision的航空炮弹缺陷检测方案设计

航空炮弹在勤务保障过程中,容易受到环境和外力的破坏而造成表面的损伤,影响正常的飞行训练甚至危及载机安全。采用虚拟仪器平台提供的LabVIEW Vision视觉开发工具包,结合灰度直方图筛选、Saturation分量图像提取、灰度形态学Erode和Dilate变换以及最大熵阈值分割的图像处理等技术手段,对待测航空炮弹图像进行分析处理,精确判断炮弹锈蚀和划痕缺陷问题。试验结果表明,系统具有较高的可行性和可靠性,可以实现炮弹缺陷的快速鲁棒检测,提高了炮弹检测的效率和精度,对于提升航空弹药保障信息化、智能化水平具有重要意义。     

深度视觉语音生成研究进展与展望

为了进一步推进深度学习技术驱动的视觉语音生成相关科学问题的研究进展,阐述了视觉语音生成的研究意义与基本定义,并深入剖析了该领域面临的难点与挑战;在此基础上,介绍了目前视觉语音生成研究的现状与发展水平,基于生成框架的区别对近期主流方法进行了梳理、归类和评述;最后探讨视觉语音生成研究潜在的问题和可能的研究方向。     

A Bioterrorism Prevention Initiative

ABSTRACT

The threat of terrorist use of weapons of mass destruction remains a daunting concern. Governments have undertaken several initiatives at the national and international level to prevent such illicit use, yet challenges remain. Notable is the absence of a single collaborative international forum of experts dedicated solely to bioterrorism prevention. The establishment of a Bioterrorism Prevention Initiative could be a possible solution to address this gap. This article explores possibilities for such an initiative and the ways in which it could strengthen the existing bio-nonproliferation regime.     

Visual-simulation region proposal and generative adversarial network based ground military target recognition

Ground military target recognition plays a crucial role in unmanned equipment and grasping the battlefield dynamics for military applications, but is disturbed by low-resolution and noisy-representation. In this paper, a recognition method, involving a novel visual attention mechanism-based Gabor region proposal sub-network (Gabor RPN) and improved refinement generative adversarial sub-network (GAN), is proposed. Novel central–peripheral rivalry 3D color Gabor filters are proposed to simulate retinal structures and taken as feature extraction convolutional kernels in low-level layer to improve the recognition accuracy and framework training efficiency in Gabor RPN. Improved refinement GAN is used to solve the problem of blurry target classification, involving a generator to directly generate large high-resolution images from small blurry ones and a discriminator to distinguish not only real images vs. fake images but also the class of targets. A special recognition dataset for ground military target, named Ground Military Target Dataset (GMTD), is constructed. Experiments performed on the GMTD dataset effectively demonstrate that our method can achieve better energy-saving and recognition results when low-resolution and noisy-representation targets are involved, thus ensuring this algorithm a good engineering application prospect.     

自行高炮火控系统动态精度模拟中的视觉测量方法

身管指向测量是实现自行高炮火控系统精度闭环测试中的一个难点,提出了一种基于计算机视觉技术的自行高炮身管指向动态测量方法。首先分析了身管及标志物位置关系,然后提出了基于九步旋转的身管指向角解算方法,最后针对实际中初始高低角解算不稳定的问题,提出了多幅图像联合寻优求解的方法。实验结果表明:所提方法高低角测量精度可达2 mil,基本满足实际要求。     

一种微光夜视仪器杂散光测量方法

通过对白光仪器和夜视仪器杂散光测量的不同之处进行比较 ,针对夜视仪器的结构特点 ,探讨了夜视仪器杂散光的产生原因 ,提出了简便易行的微光夜视仪器杂散光的测量方法。该测量方法简便实用、测量结果可数字化显示 ,具有较高的测量精度     

消防部队处置生物突发事件辅助决策系统构建

阐述了生物突发事件的重大危害性和建立生物突发事件辅助决策系统的主要目的和意义。从生物突发事件应急救援工作的实际需求出发，对辅助决策系统软件的设计进行了研究，应用Access数据库和VB6．0，编制出消防部队处置生物突发事件辅助决策系统，并对该软件的相关功能进行了必要的说明。     

基于灰度共生三角阵的炮膛图像分析

为解决炮膛疵病图像粗分类时缺少聚类和分类特征的问题，引入了灰度共生三角阵（Grey Level Co-occurrence Triangular Matrix，GLCTM）的方法。通过对炮膛样本图像GLCTM特征参量的计算与分析，确定了GLCTM的参数；根据特征参量的相关性分析结果，选择了其中7个作为炮膛图像的特征参量。样本图像的实验结果表明，炮膛图像的GLCTM特征参量取值与图像灰度的直观特点之间存在对应关系。     

倾听大地 言说自然——论徐鲁的“小拇指童话诗”

徐鲁以感恩自然的心态和更为贴近自然的感性视角为我们描绘了人类诗意地栖居的唯美画面。他将地球看作一个有机的生命整体的思想,与盖娅假说异质同构。他的＂小拇指童话诗＂是对大地的倾听,对自然的言说。