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阈值识别
相关语句
  threshold identification
     A Threshold Identification Scheme Based on the ElGamal Signature Scheme and the Schnorr Identification Scheme
     基于ElGamal签名和Schnorr识别的阈值识别
短句来源
     In this paper,we present's threshold identification scheme which is used in verifing the proof of the group identity.
     在许多应用中,经常需要识别一个用户的组织,而不是他的个体身份。 为此,本文介绍一种用于验证团体身份证明的阈值识别方案。
短句来源
     First,we review ElGamal's signature scheme and Schnorr's identification scheme,and then we desribe composition of the threshold identification scheme and the threshold identification protocol. Finally,we give conclusions.
     首先,回顾El Gamal签名方案和Schnorr识别方案,然后描述阈值识别方案的结构,阐述闽值识别协议,最后给出结论。
短句来源
  “阈值识别”译为未确定词的双语例句
     Being aimed at the weakness of short range target′s threshold value recognition system,the double passage And Gate recognition system was put forward on the correlativity of target signals and randomness of noise signals Through state analysis and inference of state transition probability,both the reliability and early burst probability of the system were obtained in theory
     针对近程目标阈值识别系统的不足,根据目标信号的相关性和噪声信号的随机性,提出了近程目标与门识别系统通过过程分析和状态转移概率的分析,从理论上得出与门识别系统的可靠性和早炸概率
短句来源
     Boundary-based Corner Detection Algorithm Without Threshold
     基于边界的角点无阈值识别算法
短句来源
     A new adaptive threshold method for the image is presented according to making object and background separated completely.
     提出了一种新的自适应阈值选择方法。 该方法基于图像的灰度级特征,以前景和背景最大程度地分开为判据,定义了新的阈值识别函数来选择最佳的阈值,对图像进行分割。
短句来源
  相似匹配句对
     Dynamic Hand Segmentation and Recognition based on Adaptive Threshold
     基于自适应阈值的动态手势分割和识别
短句来源
     A Threshold Identification Scheme Based on the ElGamal Signature Scheme and the Schnorr Identification Scheme
     基于ElGamal签名和Schnorr识别阈值识别
短句来源
     Facial expression recognition.
     表情识别
短句来源
     recognition is finished.
     进行识别
短句来源
     Nerve Threshold Value Detector
     神经阈值探测仪
短句来源
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In this paper,we present's threshold identification scheme which is used in verifing the proof of the group identity.First,we review ElGamal's signature scheme and Schnorr's identification scheme,and then we desribe composition of the threshold identification scheme and the threshold identification protocol.Finally,we give conclusions.

在许多应用中,经常需要识别一个用户的组织,而不是他的个体身份。为此,本文介绍一种用于验证团体身份证明的阈值识别方案。首先,回顾El Gamal签名方案和Schnorr识别方案,然后描述阈值识别方案的结构,阐述闽值识别协议,最后给出结论。

Being aimed at the weakness of short range target′s threshold value recognition system,the double passage And Gate recognition system was put forward on the correlativity of target signals and randomness of noise signals Through state analysis and inference of state transition probability,both the reliability and early burst probability of the system were obtained in theory

针对近程目标阈值识别系统的不足,根据目标信号的相关性和噪声信号的随机性,提出了近程目标与门识别系统通过过程分析和状态转移概率的分析,从理论上得出与门识别系统的可靠性和早炸概率

A new algorithm of impulse noise removal is proposed based on the characters of image structure and noise. During noise detection a switching method which have two stages is adopted. The min-max operator is used first. Then further detection is conducted by using the information of structure around the pixel. The pixel is identified between noise and signal by a threshold. If it is a noise point, the value is replaced by rank-ordered mean (ROM) of the filter window during noise removal. Compared with other several...

A new algorithm of impulse noise removal is proposed based on the characters of image structure and noise. During noise detection a switching method which have two stages is adopted. The min-max operator is used first. Then further detection is conducted by using the information of structure around the pixel. The pixel is identified between noise and signal by a threshold. If it is a noise point, the value is replaced by rank-ordered mean (ROM) of the filter window during noise removal. Compared with other several algorithms, the proposed algorithm can protect details of image efficiently while removing fixed-valued impulse noise.

以图像结构和噪声的特征分析为基础,提出了一种新的脉冲噪声滤除算法.算法在噪声检测阶段采用2级开关检测,即先以极值法进行初步检测,然后利用像素邻域的结构信息,并借助设定的阈值识别出该点的性质(信号点或噪声点).最后以滤波窗口内像素的灰度排序均值(ROM)替换噪声点的灰度值.实验表明,本算法在滤除固定值脉冲噪声的同时可以有效地保护图像细节.

 
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