Deal with the basis images, CDIB categories to complete its anti

早期，matlab主要是进行科学计算等应用，而目前可以有了更广泛的用途，如图像处理，上传文件就对matlab中的图像处理命令进行了详细介绍。-Early, matlab is mainly for scientific computing applications, can now have a broader range of uses, such as image processing, upload files on the right of the matlab image processing commands are described in detail.

本书为川大的朱允民教授的《multisenor_decision_and_fusion》一书，供有关人员下载-The book for the Sichuan University Professor Zhu Yunmin of the

小波软阈值去噪，具有较高的SNR,是一种自适应阈值算法-Wavelet soft-threshold de-noising with high SNR, is an adaptive threshold algorithm

基于kalman滤波器的2D目标跟踪，maltab实现-2D-based kalman filter target tracking

图像缩放，效果较好，三次插值法，能较高质量缩放图像-Image scaling, better-performing, three interpolation can be higher quality zoom images

叠加椒盐噪声后进行二阶巴特沃斯(Butterworth)低通滤波,最后显示处理结果. 直接解压后将图片和程序放在同一个文件夹里.-after second-order Butterworth (Butterworth) low-pass filtering, Final results showed. Photo will be directly extracted and procedures on the same document folder.

图像的一维、二维快速傅里叶变化和反变化，可对图像一般低通滤波、ButterWorth低通滤波、一般高通滤波、ButterWorth高通滤波-Image of one-dimensional, two-dimensional fast Fourier change and anti-change, the image may be a general low-pass filter, ButterWorth low pass filter, the general high-pass filtering, ButterWorth high-pass filtering

将OpenCV的IPLImage格式的图像转换为可以在VC对话框里显示的图像格式。

这里包含三个高质量的Gabor实现代码，分别基于C、OpenCV、Matlab，大家各取所需吧。Gabor变换可以实现在多个尺度、多个方位上的变换，尤其是对于纹理的检测有很好的效果，研究表明Gabor特征符合人眼感受野特性。 -Here are three high-quality implementation of the Gabor code, respectively, based on C, OpenCV, Matlab, let everyone take what we need. Gabor transform can be achieved in a number of scales, a number of position on the transformation, especially for the detection of texture have very good results, the study shows that the characteristics in line with Gabor receptive field characteristics of the human eye.

实现在图像任意角度的旋转，平移。以及图像的镜像，扭曲。波浪效果，缩小放大裁剪，以及对图像的裁剪。-achieve arbitrary angle images in the rotation and movement. Mirror Image and distorted. The wave effect, narrow Large cutting, and cutting the right image.