Face Tracking source code, even on camera after a timely manner to Face Tracking

使用MATLAB进行数字图像处理中的中值滤波，希望对初学者有帮助。-The use of MATLAB for Digital Image Processing in the median filter, and they hope to be helpful for beginners.

图像处理 自己编写的，能处理256色位图-Image processing have written to deal with 256-color bitmap

图形图象处理VC++编码,很好很使用,欢迎大家应用,希望与大家多交流-Graphic image processing VC++ Encoding, very good use, welcomed the U.S. application, I hope more exchanges with the U.S.

于傅里叶变换的图像加密技术研究 具体是将一幅图像用 fft 变换到频域 在频域中进行加密 我考虑的是通过随机相位来加密的方法，请问用matlab怎样实现 加密后在通过 ifft 得到加密后的图象 -Fourier transform in the image encryption technology to study the details of an image is to use fft transformed to the frequency domain in the frequency domain I consider encryption is through random-phase approach to encryption, Will the use of Matlab how to achieve the adoption of encryption ifft be encrypted images

产生高斯分布随机数，一次写论文时用到的，希望对你也有用-Have a Gaussian distribution random number, one used to write papers, I hope you are also useful for

主要实现在灰度图像上处理图像的灰度值，包括灰度线性变换等操作。如果是彩色图像则首先灰度化，在进行操作。-main achievement of the gray image processing images on the gray values, including gray linear transformation operation. If it is the first color image is gray, the operation is in progress.

角点检测： 最简单的一种角点检测算子，但是由于采用了非最大化抑制，效果和OpenCV相当 输入的ImageGray为图像的灰度描述，WBPoint为Boolean数组，ImagePoint为标准角点检测算子运行后的检测值。-Corner Detection: The simplest type of corner detection operator, but due to the non-maximization of inhibition, the effectiveness and OpenCV considerable input ImageGray description for gray-scale images, WBPoint for Boolean array, ImagePoint standard corner detection operator After the detection of sub-run value.

采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是Hough分析-for image processing, have been tested, the very practical, The main source of Hough analysis

利用小波变换技术图像融合方法从模糊图像中恢复图像，并给出结果-Using Wavelet Transform Image Fusion technology of fuzzy images from the resumption of images, and gives results

k-均值聚类法用于各种图像的聚类、分割问题，希望可以对您有利-k-means clustering method for a variety of image clustering, segmentation