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内膛的英文

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"内膛"怎么读用"内膛"造句

英文翻译手机手机版

  • bore
  • working tube

例句与用法

  • On inner surface rifling image recognition of canons
    线膛炮内膛图像膛线识别研究
  • Discussion about equally fired round and erosion of rifled bores tank gun
    线膛坦克炮内膛烧蚀磨损规律与等效发射弹数对应关系
  • A method for cannon barrel image enhancement based on human eye visual characteristics
    基于人眼视觉特性的火炮内膛图像增强方法
  • Measuring principle , mechanical over all structure , electronic principle and designs of several key parts of subveying instrument for cannon cave are described in detail
    摘要详细讲述了火炮内膛测试仪的测量原理、机械总体结构、电子学原理、精度分析以及几个关键部分的设计。
  • Based on the theory of image processing arithmetic and the complex background of the inner cannon , the paper put up realtime image capturing method and high precision image measuring arithmetic
    本文在深入研究了各种图像处理算法理论的基础上,提出了针对具有复杂背景的火炮内膛图像的实时采集方案和特殊图像的高精度测量算法。
  • The inner cannon image capturing can be controlled flexible by setting the serial port communication and image capturing card parameter , such as the capturing modes , the adding characters , the locating flaws , the scaling distance and the autopreset data controlling
    通过串口通信机制和设置图像采集卡的参数,可以实现对火炮内膛图像的实时采集进行灵活的控制,如采集制式、字符叠加、疵病定位、距离定标和自动预置数控制等功能。
  • The aim of this paper is to make researches on programming recognition technique applied to automatic recognizing system of the mar inside artillery body . there are no any similar products in fremdness but some inchoately researches on it made in china . the research in this paper has great signality for artillery manufacture and test
    本文主要讨论火炮内膛疵病自动识别系统中的软件识别技术,国外尚无相关产品,国内也仅处于起步阶段,对火炮的制造、检测都有着十分重要的意义。
  • In the paper , the projectile pushing process on firing is analyzed . the quantitative computational model of the projectile velocity to gun bore wear is built . finally , taking the 120mm gun for example , the relation of projectile velocity to gun bore wear is calculated , the phenomenon of trajectory peak is analyzed
    分析了射击时弹丸挤进过程,建立了弹丸初速下降量与炮膛内膛磨损量计算模型,并以某火炮为实例计算了该炮弹丸初速下降量与炮膛内膛磨损量之间变化关系,分析了弹道峰现象,为身管寿命预测提供理论依据。
  • It provides appropriate optimization algorithms for image recognition inside artillery body that obtained by optical facility and electronic instrument , and then the marred level of inside artillery body . the system is developed in visual c + + 6 . 0 and resulted from the following techniques : digital image processing , pattern recognition and ann
    本文研究在利用光电、电子等技术取得内膛表面的图像后,提出并采用适当有效的算法对图像进行识别分类,评定火炮损伤级别。本课题综合利用了数字图像处理,模式识别与神经网络技术,采用visualc + + 6 . 0实现。
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