otsu-threshold

摘要 该文主要考虑利用图像噪声再生技术来提取图像细节 其思想是利用被滤除的噪声信号进行回收再利用 通过对噪声信号和初步去噪信号进行小波变换 比较它们的小波系数 当噪声信号的小波系数达到一定的阈值时 将噪声信号的小波系数保留叠加至初步去噪信号的小波系数 然后利用传统的软阈值去噪的方法来进行图像的去噪 从而达到既能够去除噪声 又能保留图像细节的目的 实验证明 该方法较传统的方法在去噪和细节保持上有改进(Abstract In this paper, consider using images to extract the noise regeneration of its ideological image detail is the use of the noise signal was filtered to recycle through the noise signal and the initial wavelet transform de-noising signal comparison of their wavelet coefficients of the wavelet signal when the noise coefficient reaches a certain threshold will be the noise signal superimposed to the wavelet coefficients to retain the initial de-noising signal wavelet coefficients and then using the traditional soft-threshold denoising approach to image denoising in order to achieve the removal of noise can not only be able to retain The purpose of image detail that the methods of the experiment a more traditional approach to denoising and detail in there to keep improving)

Matlab实现基于radon变换的图像重建 Matlab实现基于radon变换的图像重建(Matlab-based radon transform of the image reconstruction)

说明：  Matalab通信中的一些仿真，调制解调方面的，比较全面，可以借鉴下。(Some Matalab communication simulation, modem connection and a more comprehensive and can learn from the next.)

基于svm的人体轮廓检测，基于omega人体形状特征。(recognize people by svm.)

Small demo of applying a Kalman Filter to a simple problem.

2010 数学建模大赛 赛前matlab培训3(Mathematical modeling knowledge and experience 2010.zip)

FDTD code 2D 1d and 3d

face recognition is done here for a dataset by sequence of series of images and weak classifiers are trained to get back strong classifier

Matlab中的GA程序(Matlab GA procedures)

Rotational Actuator Torque-Speed Characteristics This model generates the torque-speed characteristics for five different motor types. To select the motor type, right-click on the Electric Motor block, select Block Choice and then the desired motor. All motors have been sized for roughly the same mechanical power rating.