阈值选择的英文

• threshold selection

• "阈值"英文翻译    threshold; threshold value
• "选择"英文翻译    pick and choose; select
• "峰值选择" 英文翻译 :    psm peak selector memory
• "系值选择" 英文翻译 :    set occurrence selection
• "整定值选择" 英文翻译 :    choice of setting
• "辛烷值选择器" 英文翻译 :    octane number
• "最大值选择器" 英文翻译 :    auctioneer
• "峰值选择存储器" 英文翻译 :    psm peak selector memory
• "期望值选择模型" 英文翻译 :    expected value model
• "不丧失价值选择权及其他选择权" 英文翻译 :    non-forfeiture and other options
• "阈值" 英文翻译 :    threshold; threshold value
• "差值选项板" 英文翻译 :    difference palette
• "数值选呼系统" 英文翻译 :    digital selective calling system
• "最有价值选手" 英文翻译 :    mvp
• "超阈值" 英文翻译 :    superthreshold
• "次阈值" 英文翻译 :    subthreshold
• "低限；阈值" 英文翻译 :    threshold
• "高阈值" 英文翻译 :    high threshold◇高阈值逻辑 high threshold logic; 高阈值逻辑电路 high threshold logic circuit
• "门限,阈值" 英文翻译 :    threshold
• "门阈值" 英文翻译 :    gate threshold
• "取阈值" 英文翻译 :    thresholding
• "痛阈值" 英文翻译 :    threshold of pain
• "嗅阈值" 英文翻译 :    olfact; threshold odor number
• "亚阈值" 英文翻译 :    subthreshold
• "阈值，界限" 英文翻译 :    threshold

• By contrast , a algorithm called image segmentation based on edge detection is used to make the initial binary segmentation
  在二值化初级分割中，对比了几种分割方法，选择基于边缘强度的阈值选择方法。
• The technology of automatic choose of threshold value is used , and it make the choose more reasonable . the graying arithmetic is improved in order to pick up interest point and target easily
  本文在应用部分采用了自动阈值选择技术，使阈值的选择更合理；对灰度化算法进行了改进，目的是较容易的提取兴趣点和目标。
• During the process of compressing , the choice of the threshold value is involved . in the former method , the threshold value is fixed , but in our method , threshold value is adaptive . furthermore , we can eliminate noise by wavelet
  在对心电信号得压缩过程中，必然会涉及到阈值的选择，以前的一些数据压缩方法中的阈值选择是基本不变的，在我们这个压缩方法中阈值的选择是自适应的。
• Only by mean of the resolution , can we select the signal that is the higher - ratio of signal - noise and cut off the lower ratio of signal - noise , thus the globe ratio of signal - noise is enhanced to a higher degree by the enhancement of the local ratios of signal - noise
  本人在这篇论文中，从小波基的选择。量化方法、滤波器构成方面优化设计，尤其在小波阈值选择上，通过把小波软阈值的选择与信噪比联系起来从而增加了图像信号的信噪比。
• Pretreatment of image is studied , such as graying , smoothing , the choice of threshold value , edge detection , erosion , inflation , figure pick - up , figure following , image segmentation . the aim is to produce a breadth of image easy to recognize and understand for computer , at the same time the base is established for stereo vision
  对图像的预处理进行了研究，如图像的灰度化、平滑化、阈值选择、边缘检测、腐蚀、膨胀、轮廓提取、轮廓跟踪、图像分割等，目的是产生一幅计算机易于识别和理解的图像，同时为立体匹配奠定了基础。