图像的几何变换，是本人原创的程序，经典，适合于初学者的理解...

此题是用最近邻域法实现图像缩放，供菜鸟练习用，这种算法不高清-This problem is the nearest neighbor domain method to achieve image scaling for the rookie practice with, this algorithm does not high-definition

正交变换：在图像处理中，正交变化是非常重要的数学实现方法，压缩中应用广泛。-Orthogonal：transformation: In the image processing, orthogonal change is a very important mathematical realization method, widely used compression.

将YUV文件中每帧的数据转换成OpenCV中的Ipl-ertdfvfh wfsddf.

图像处理编程-Image Processing Programming

图象拼接SIFT算法的C原代码--加州大学一个博士生编的.下面是它的几个不同的版本,挑着用吧!-sciences image stitching algorithm C source code-- the University of California, a doctoral student in the series. Below are several of its different versions carry a use!

用傅里叶变换对图形进行变换，然后用高斯低通、高通滤波器对图像进行去噪-Fourier transform graphics transform, and then use Gaussian low-pass, high pass filter for image denoising

图像的组成无非是一些字符串或者一些字节组成的字符串，然而，每一个字节数据位的重要度并不是一样的，两个相邻字节往往只有低位是不一样的。例如：00100110和00100111代表了两个不同渐变度的红色，但是就人眼是分辨不出来的。最低有效位LSB算法，就是利用这一点，达到图像压缩，或者数字水印的功能。-The composition of the image is nothing more than some number of bytes or string composed of string, however, one byte for each data bit is not an important degree of the same, often only two adjacent low-byte is not the same. For example: 00100110 and 00100111 represent the gradient of two different degrees of red, but on the human eye is not out to tell. Least significant bit LSB algorithm, is to take advantage of this point, to achieve image compression, or digital watermark feature.

在各种聚类算法中，ISODATA可以说是应用最广泛的。以与代表点的最小距离作为样本聚类的依据，因此比较适合各类物体在特征空间以超球体分布的方式分布，对于分布形状较复杂的情况需要采用别的度量。

运动模糊的图像复原，对存在匀速运动造成的模糊图像进行复原-motion- blurred image recovery, the existence of uniform motion blurred image recovery

简单的图像处理程序集合！对图像处理的基本知识可以有所窥探，适合图像处理的初级学习者使用！-Simple image processing procedures for the collection! On the basic knowledge of image processing could be spy, suitable for image processing of primary learners to use!