To discern edge and noise in multiresolution edge detection used single threshold, we put forward a kind of adaptive threshold and improve the method of edge linking.
针对小波变换多分辨率边缘检测中单一阈值难以区分边缘与噪声的问题，本文提出了一种自适应的阈值方法，并改进了边缘链接方法。
After correlation detection step, noise pixels in the image sequences are almost suppressed, and only target pixels and a few clutter pixels can pass the detection threshold.
经过相关检测后，图像序列中的噪声几乎完全被门限所抑制，只有极少数噪声像素、全部目标像素和一小部分杂波像素可以通过相关检测门限。
The first is the endpoint detection based on fractal dimension. It utilizes fractal dimension superiority and overcomes the difficulty of decision threshold in noise environment.
该方法利用了分形维数在噪声情况下作为语音端点检测参数的优越性，克服了在噪声情况下判决门限难以估计的问题。
The method of moving target detection has the advantages of simplicity in computation, strong resistance to noise, no need to select threshold, and no overlap shadow in the segmented result.
此运动目标检测方法运算简单，抗噪能力强，无需阈值选取，分割结果无重影。
Three methods for analyzing and processing the laser scattering signal of bubbles in water, the threshold detection, noise elimination processing and power spectral estimation, are put forward.
提出了阈值检测、降噪处理和功率谱估计三种分析和处理水中气泡激光散射信号的方法。
Because the images edge can be affected by noise more easily than the region feature, defect region-detection is proposed by combining mathematics morphology and optimal threshold method.
鉴于图像边缘特征易受噪声影响，而区域特征受噪声影响要小得多，提出利用数学形态学和最佳阈值分割相结合的方法来实现缺陷区域提取。
Detection of signals in hybrid noise environment is more complicated than that in Gaussian noise only. It involves multi-threshold judgement.
混合噪声中信号的检测比高斯噪声中信号的检测复杂，可能为多门限判决。
Because the images edge can be affected by noise more easily than the region feature, defect region - detection is proposed by combining mathematics morphology and optimal threshold method.
鉴于图像边缘特征易受噪声影响，而区域特征受噪声影响要小得多，提出利用数学形态学和最佳阈值分割相结合的方法来实现缺陷区域提取。
Wavelet soft-threshold de-noising method was applied to preprocess the noisy signal, and the noise interference in disturbance detection was reduced to a great extent.
采用小波软阈值去噪方法对信号噪声进行预处理，很大程度地减小了噪声对扰动检测的干扰。
However, the traditional weak signal detection method, input signal to noise ratio threshold are subject to certain restrictions, it is difficult to further reduce.
然而，传统的微弱信号检测方法，输入信噪比门限受到一定限制，很难进一步降低。
However, the traditional weak signal detection method, input signal to noise ratio threshold are subject to certain restrictions, it is difficult to further reduce.
然而，传统的微弱信号检测方法，输入信噪比门限受到一定限制，很难进一步降低。
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