shibietuxiangzhongdeyuanxingmubiao

这个函数提供灰度拉伸功能，输入图像应当是灰度图像，但如果提供的不是灰度图像的话，函数会自动将图像转化为灰度形式。x1，x2，y1，y2应当使用双精度类型存储，图像矩阵可以使用任何MATLAB支持的类型存储。(This function provides a gray scale stretching function of the input image should be grayscale image, but if not provided, then gray image, the function will automatically be converted to grayscale image form. x1, x2, y1, y2 should use double precision storage, image matrix can store any type of MATLAB support.)

说明：  这是一个混合的粒子群算法编程实现，希望对大家有帮助(hybrid PSO code in matlab)

使用一组陀螺实测数据为原始数据，通过时变卡尔曼滤波，得到两组输出滤波图(Use a gyroscope data as raw data, through the time-varying Kalman filtering, the final two output filter figures are obtained)

registrationimage by cross correlation

For using this code need to use signal toolbox and general toolbox in your matlab Inpainting using sparse regularization. Consider the pepper image with many missing pixels. Assume that the image is noisy-free. (a) Inpaint the image by using orthogonal wavelet sparsity. (b) Inpaint the image by using a different sparsity prior. Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity).

基于MATLAB的k-means算法 较好的解决了图像分类聚类的问题(MATLAB based on the k-means algorithm better solved the problem of image classification clustering)

MIMO雷达成像，资料比较全的，是一个压缩包(MIMO radarimaging)

基于MATLAB下的WinsockAPI网络编程，有很好的参考价值，值得一看！(MATLAB-based network programming WinsockAPI under, has a very good reference value, worth a visit!)

Mammography is one of the available techniques for the early detection of masses or abnormalities which is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect the other parts of the body. The most common abnormalities that might indicate breast cancer are masses and calcifications. Masses appear in a mammogram as fine, granular clusters and also masses will not have sharp boundaries, so often difficult to identify in a raw mammogram. Digital Mammography is one of the best available technologies currently being used for the early detection of breast cancer. Computer Aided Detection System has to be developed for the detection of masses and calcifications in Digital Mammogram, which acts as a secondary tool for the radiologists for diagnosing the breast cancer. In this paper, we have proposed a secondary tool for the radiologists that help them in the segmentation and feature extraction process.

matlab code for Toolbox Wavelets