soundDCT

图片鱼眼畸变校正程序。用于处理图片桶形失真枕形失真。(Picture fisheye distortion correction program. Used for processing images barrel distortion pincushion distortion.)

国外写的knn-matting，图像抠图的源程序，有实例，可直接使用(knn-matting looking abroad to distinct the image layer, there are instances, can be used directly)

这是2004年一篇重要的角点检测文献的配套Matlab源码。该算法的效果比SIFT、Harris、Susan等算法的检测效果更好。本压缩包中有从Matlab官方网站下载的源码，以及2004年那篇文献，对该算法做了详细解释。(This is 2004, an important corner detection literature supporting Matlab source code. Of the algorithm is better than SIFT, Harris, Susan, such as better detection algorithm. The compressed package from the official website to download the Matlab source code, and in 2004 came across the literature, the algorithm to do a detailed explanation.)

最优波束形成技术研究及硬件实现，适用于雷达和声呐方面(Optimal Beamforming technology research and hardware for radar and sonar terms)

SURF 图像特征点快速提取法还有描述，可用于迅速匹配两张图片中的特征点(SURF image feature points extraction method also described fast, can be used to quickly match the image feature points in the two)

这是一个视频图像处理的程序，通过混合高斯分布来建立背景模型，并且提取了运动目标，效果不错！(mixture of gaussians)

基于PCNN脉冲耦合神经网络的图像增强算法，改进了PCNN基本算法，相比传统图像增强算法更有效(Image enhancement algorithm based on PCNN)

K近邻(KNN)平滑滤波器算法，包括椒盐噪声和高斯白噪声下平滑处理的结果(K-Near Neighbor (KNN) Smoothing Filter Algorithms, Including Smoothing Processing Results under Salt and Pepper Noise and Gauss White Noise)

说明：  可以实现基于matlab的加权平均方法的图像融合，亲测有效。(The weighted average method based on matlab can be used for image fusion)

曲面拟合法是一种高精度、计算量小、抗噪性能强的方法，当前已被广泛地应用于 各种场景。比如岩石材料的变形测量、电子器件变形的测量、基于掌纹图像相关匹 配的重复定位技术等。曲面拟合法能够成功计算出亚像素位移的前提是整像素搜索阶 段可以正确搜索出模板的整像素匹配点，一旦整像素匹配点搜索出现错误，那么亚像素 测量阶段所得到的位移距离就会失去意义。 使用不同的拟合函数对相关系数矩阵进行曲面拟合，会对结果产生一定的影响，比 较常用的拟合函数有二次函数、三次函数、高斯函数等。(Surface fitting method is a high-precision, computational complexity is small, strong anti-noise performance method, has been widely used in various scenes. For example, deformation measurement of rock materials, deformation measurement of electronic devices, and repetitive location technology based on palmprint image correlation matching. Surface fitting method can successfully calculate the sub-pixel displacement on the premise that the whole pixel search stage can correctly search the template of the whole pixel matching point, once the whole pixel matching point search error, then the sub-pixel measurement phase of the displacement distance will be meaningless. Using different fitting functions to fit the surface of the correlation coefficient matrix will have a certain impact on the results. The commonly used fitting functions are quadratic function, cubic function, Gaussian function and so on.)