matlab realization, neural network simulation system, the neural network would l...

视频运动检测的例子和源代码，可以在图像处理和运动目标检测中应用-Video Motion Detection examples and source code, the image processing and moving target detection application

本程序利用小波变换的方法来获取图像的轮廓 来进行图像配准 先用小波变换检测图像中的边缘 在轮廓中寻找最长的轮廓 计算每间一点的曲率 然后对这些数据匹配 进行图像配准 找到图像的变换参数-This procedure using wavelet transform method to obtain the outline of the image to image registration using wavelet transform edge detection of images to find the longest in the outline of the outline of the calculation of the curvature of each point and then match these data to find the image registration image transformation parameters

this program is 10 percent noise adding process TO numbers 1 to 9

matlab实现s小波变换代码,输入图像矩阵，输出一幅图像，分为四块-wavelet transform code input image matrix, the output an image is divided into four

opencv_source_code,opencv源码说明，不错的opencv学习文档-opencv_source_code, opencv source code shows that good learning opencv documentation

本程序通过水平和垂直灰度投影，框选出灰度面部图像中的眼睛区域。-This program is used to locate eye region in gray facial image by means of horizontal and vertical projection.

此程序能够实现霍夫曼编码，香农－费诺编码，算术编码以及位平面编码等。-This process can realize Huffman coding, Shannon- Fenno coding, arithmetic coding and bit-plane coding.

ezdicom 不用多说了吧,可以读取DICOM格式的图像和处理-ezdicom Needless to say the bar, you can read DICOM format images and deal with

实现粒子爆炸效果，挺不错的。解压密码：www.programsalon.com-achieve particle explosion effects, sounds very good. Extracting Password : www.programsalon.com

：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.