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jaiyengyeng
- 比较了软阈值,硬阈值及当今各种阈值计算方法,sar图像去噪的几种新的方法,计算互信息非常有用的一组程序。- Comparison of soft threshold and hard threshold and today various threshold calculation method, Several new methods sar image denoising, Mutual information is useful to calculate a set of procedur
my_gcv
- 求取信号的gcv值,可以用于确定信号噪声水平,选取合适的阈值进行去噪(The GCV value of the signal can be used to determine the signal noise level, and the appropriate threshold is selected to denoise)
black
- 本代码主要应用于基于CCD相机的实时动态捕捉,并进行了简单的平滑去噪,阈值化处理(This code is mainly used for real-time dynamic capture based on CCD camera, and carried out a simple smooth denoising, threshold processing)
center of laser spot-1
- 对图片应用利用max,min等函数求阈值分割点,最后转化为二值化图像,去噪后利用中值滤波处理再除噪,找出光斑中心位置和半径。(After binaryzation of the image processing, and then remove noise, find the center of the spot and radius)
CANNY
- 根据CNNAY算法的4个步骤 1. 用高斯滤波器平滑图像;(图像去噪) 2. 用一阶偏导有限差分计算梯度幅值和方向;(特征增强) 3. 对梯度幅值进行非极大值抑制 ;(边缘检测) 4. 用双阈值算法检测和连接边缘。(形态学处理) 编写的边缘检测程序,简单实用(There are four parts of Canny edge detection: 1. smoothing the image with Gauss filter; (image denoising) 2. c
mlsoft
- 基于软阈值的提升小波去噪程序,用于信号处理(A soft threshold based lifting wavelet de-noising program for signal processing)
BayesThresh2
- matlab 贝叶斯和通用阈值软阈值图像去噪方法MATLAB程序,希望对大家有帮助,仅供大家参考,希望有用(Matlab Bias and the general threshold soft threshold image denoising method MATLAB program, hope to help everyone, for your reference only, hope to be useful.)
ConsoleApplication12
- 基于深度摄像头的障碍物检测,代码的核心思路是首先通过二值化,将一米之外的安全距离置零不考虑,然后通过开运算去除掉一些噪点(这个后来发现不一定有必要),在求出所有障碍物的凸包,这个时候要计算面积,当面积小于一定的阈值的时候不予考虑,最终输出障碍物的凸包坐标(The core idea of the code is to first take the safe distance beyond one meter into account by binary, then remove some noi
ImproveCanny
- 一个改进的自适应canny算法,该方法采用改进的开关型中值滤波器对图像做去噪工作,再把整幅图像分割为若干子图像,最后在充分考虑全局以及各子图像的边缘梯度信息后,自适应地生成动态阈值。(The new Canny adaptive method divides image into sub-images,then determinates the thresholds automatically according to the whole image edge information and t
心电信号检测与分类算法的研究
- (1)心电信号预处理 心电信号是一种低频且含有众多噪声干扰的信号。针对心电信号存在的 噪声干扰问题,本文采用了平稳小波变换结合双变量阈值的方法对其进行去 噪处理。通过对心电信号进行八层平稳小波变换,得到不同的小波系数,采 用双变量阈值函数表达式对其进行处理得到新的小波系数,最后进行逆平稳 小波变换实现小波重构,完成心电信号去噪。Matlab 仿真结果显示,本文算 法的准确率较高,信噪比达到 84.5934dB。 (2)心电信号波形识别 反映心电信号的特征部分往往是信号的突变点,因此需