• 传统滤波去噪方法效果大有改善,尽管不能尽善尽美,但基本上能够满足工程应用的实际需要。

    The threshold method is better than traditional de-noising method and can meet requests of engineering application basically, although it is not perfect.

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  • 方法运用分离分析多基因阈值理论进行遗传流行病学分析。

    Methods: The genetic epidemiology methods are used to make segregation analysis and polygenic threshold model.

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  • 最后采用混沌优化获得模糊信息分割方法最佳阈值

    Finally, the optimal thresholds of image segmentation based on fuzzy mutual information is obtained by means of chaos optimization method.

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  • 传统信号方法采用门限噪声信号小波或小波变换做处理达到去噪的目的。

    In traditional denoising methods for signals, we usually use the method of threshold to achieve denoising by the threshold disposing of wavelet packet transform.

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  • 结果三种测量方法最大可靠性最高重复性最好噪声敏感性小,阈值设置的影响。

    Results:In the three measurements, the peak measurement method had the highest reliability, the best repetition, the least sensitivity to noise, and not to be influenced by threshold setting up.

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  • 目前纸病检测方法分为阈值形态学方法灰度统计三类。

    The test methods at present fall into three types: threshold method, morphological method and grey level statistics method.

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  • 方法避免了整体动态范围传统自适应阈值固定分区所造成误判

    This method avoids the small dynamic range in global thresholding and misjudgement caused by fixed divided regions in adaptive thresholding.

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  • 性能指标视觉质量上均优于基于离散正交变换方法传统的中滤波

    In performance and visual quality, the algorithm is better than the wavelet denoising based on discrete orthogonal wavelet transform and the conditional median value filtering method.

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  • 目的探讨MSCT去卷积灌注成像技术测定肝脏灌注参数方法,初步界定其正常阈值

    Objective To explore a reliable method to measure the parameters of hepatic perfusion imaging using multislice CT(MSCT) with deconvolution method, and to set the normal threshold.

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  • 不同图像分割方法(直方图阈值匹配)实现图像分割,并且对两种方法优缺点做了比较

    We use two different image segmentation methods, histogram algorithm and match algorithm, to implement image segmentation and compare the advantage and disadvantage of two methods.

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  • 提出了模糊判别的自动阈值手工补选样点修正阈值结合图像分割方法,实现了对有其它植物叶片背景的杂草图像的正确分割。

    To segment leaves, as other leaves in image background, the segment method that combined auto-threshold with handwork sampling to modify segment threshold can segment accurately aim leaves.

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  • 采用改进阈值基于模型方法进行渐变镜头检测,根据运动向量变化检测摄像机的运动状态。

    Dual threshold and Basing on model are used to detect gradual changes, and the change of motorial vectors is used to detect the motion of the camera.

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  • 提高CT图像清晰度降低影对医生诊断不利影响文章提出了一种基于小波变换和软阈值的CT图像伪影消除方法

    To improve the clarity of CT image, and reduce the disadvantageous affect of the artifact, the article proposes a method of reducing CT image artifact based on wavelet soft threshold.

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  • 方法运用分离分析多基因阈值理论进行遗传流行病学分析。

    Methods The genetic epidemiology methods are used to make segregation analysis and polygenic threshold model.

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  • 方法采用仪器手工,对仪器测定不在阈值范围内的标本,即改用手工复检

    Methods The specimen that is not in threshold detected by counter were detected repeatedly by artificial counting.

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  • 为了改善交通标志RGB模型颜色分割效果提出了一种基于三分量色差动态分割改进方法

    To improving color segmentation effect of traffic sign under the RGB model, a method for image segmentation based on chromatic aberration was presented.

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  • 多层阈值方法基础上采用逼近图像进行预处理

    Based on the multilevel threshold de-noising method foundation, mean value approximation (MVA) was used to pretreat the noising image.

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  • 以小变换为基础提出能量阈值结合适应算术编码方法扰动数据进行压缩获得了好的压缩效果

    This paper proposes an energy threshold method based on wavelet transform and has achieved fairly good compression performance by referring to adaptive arithmetic encoding.

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  • 同时,本文提出了探针输出信号确定份额方法方法阈值准确、可靠。

    The methods for determining local phase fraction from the outputs of the probe were also discussed and an improved one was put forward compared with threshold method.

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  • 在此基础上确定自适应计算方法建立新的,可用于去除相干噪声

    And then, establish the adaptive thresholding algorithm. Thus, we get a new adaptive threshold denoising method fit for coherent noise.

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  • 确定多层人工神经网络阈值建立了混合求解方法,即迭代前期采用BP,而迭代后期采用梯度优化进行计算。

    Mixed method was built to calculate the weights and thresholds of multi-layer neural network by utilize BP algorithm and terraced optimizations.

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  • 确定多层人工神经网络阈值建立了混合求解方法,即迭代前期采用BP迭代后期采用梯度优化进行计算。

    Mixed method is built to calculate the weights and thresholds of multi-layer neural network by utilize BP algorithm and terraced optimizations.

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  • 差中提取故障信息,实现推力器故障检测分离。提出采用模糊诊断方法分析差信号,克服判断的弱点。

    Fault information was obtained by analyzing residuals with fuzzy residual evaluation, which overcome a high rate of misinformation associated with the threshold evaluation method.

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  • 研究了基于小波变换语音问题,传统去噪语音特性分析基础上,提出改进的多阈值语音信号去噪方法

    By Analysing speech signal and conventional denoising method of threshold, a new mult-threshold based on wavelet transform method of speech signal denoising is proposed.

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  • 结果证明方法兼顾软硬阈值优点,去效果更好更高

    The result verifies that the new method possesses both merits of hard and soft threshold methods, offers better denoising effect and higher signal to noise ratio.

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  • 针对图像背景噪声强特点,提出一种基于兴趣区域(ROI)的结构光条纹中心处理方法在ROI内最大类间方差进行阈值分割再用重心进行细化。

    Aim at removing the background noise in the large measuring range system (about 2m), a method which combines Otsu based on ROI and gray barycenter method is proposed.

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  • 方法:在实验室搭建实验装置,分别利用矩形光栅实验装置平板视网膜MTF测量仪器,来测定正视屈光不正组不同空间频率条纹分辨的阈值,算出并分析比较所MTF

    METHODS: Retina MTF of two groups of people with emmetropia and ametropia were measured by means of a grating and parallel plate respectively. Then the measured MTF were compared and analyzed.

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  • 最后运用小波阈值两个系统实验信号进行了分析结果表明方法提高信噪比,抑制噪声具有一定的作用

    Finally, wavelet threshold de-noising method was used to analyze the experimental signal of the two systems. The results showed this method can make some de-noising effect.

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  • 超声信号波形识别到达时刻判别上,本研究传统阈值改进高速数据采集方法

    Compare to the traditional threshold method to distinguish the signal and detect the time, complete data sampling is adopted. And in this thesis, these follow content are introduced in detail.

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  • 超声信号波形识别到达时刻判别上,本研究传统阈值改进高速数据采集方法

    Compare to the traditional threshold method to distinguish the signal and detect the time, complete data sampling is adopted. And in this thesis, these follow content are introduced in detail.

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