MSR_fft

Camshift算法，即"Continuously Adaptive Mean-Shift"算法，是一种自适应的运动跟踪算法。它主要通过视频图像中运动物体的颜色信息来达到跟踪目的。(Camshift algorithm, namely " Continuously Adaptive Mean-Shift" algorithm is an adaptive motion tracking algorithm. It is primarily the color information of the object' s movement through the video images to achieve tracking purposes.)

白噪化处理，这是高光谱图像数据降维的前预处理，也称为球化，在数据降维中必须用到(White noise process, which is pretreatment hyperspectral image data dimensionality reduction, also called the ball in the data dimensionality reduction must be used)

基于DCT域的数字水印算法主要包括水印调制、水印嵌入和水印提取，首先在嵌入载体图像之前用Logistic混沌序列对水印进行调制，得到一个只有+1和-1随机序列的水印，同时将载体图像进行全局DCT变换，然后将水印图像嵌入人类视觉系统最重要的部分，即DCT最大的系数，DC（Direct Current）部分也包含在这最大的系数中，这部分的系数满足人类视觉特性，会使水印嵌入的性能更好。嵌入算法是将水印与这些系数进行相乘获得新的系数，再用新的系数来替换原来的系数，即获得嵌入水印后的离散余弦域的图像，然后对这个变换后的图像进行IDCT，就会得到需要的水印图像。(While the carrier image digital watermarking algorithm based on DCT domain include watermark modulation, watermark embedding and watermark extraction, the first of the watermark embedded in a carrier modulated image before using Logistic chaotic sequence, only+1 and-1 to get a random sequence of watermark, Global DCT transform, then the watermark image is embedded most important part of the human visual system, i.e. the largest DCT coefficients, DC (Direct Current) in this section also contains the largest coefficient, the coefficient of this part of the human visual characteristics to meet, make watermarks Embed better performance. The watermark embedding algorithm is with these coefficients are multiplied to obtain new coefficients, and then a new factor to replace the original coefficients, namely discrete cosine domain to obtain an image watermarked and then transformed the image of this conduct IDCT, on watermark image will be needed.)

matlab 马尔科夫随机场简单的实现例子(Markov random field matlab implementation simple example)

图像处理课程设计——《人脸识别》，用matlab实现的，代码加实现，以及设计报告(Image processing designation of face recognize.)

基于FCM和水平集的图像分割，以脑颅图像为例，分割结果良好(FCM and the level set based image segmentation to skull image, for example, good segmentation results)

sift特征提取，包括三部分，特征点提取，特征点描述，特征点匹配(sift feature extraction consists of three parts, feature extraction, feature point description, feature point matching.)

说明：  用MFC实现将位图进行直方图均衡化处理的源码(MFC to achieve the bitmap with the histogram equalization processing of the source)

说明：  find_center:寻找图像的形心，即图像几何中心点的检测。 otsu:otsu分割 sobelNedge：sobel边缘检测 catch_point:全局阈值分割函数(Find center: find the centroid of the image, that is, the detection of the geometric center of the image. Otsu: Otsu segmentation Sobel edge: Sobel edge detection Catch point: global threshold segmentation function)

echarts-master