simplified approach to image processing

最常用的图像处理函数集合，采用类的形式整理出来，包括读写等等 -The most commonly used image processing function of the collection, collation used by the form of categories, including reading and writing, etc.

一些快速纹理映射的例子- Some fast texture mappings examples

基于特征的影像匹配――SIFT Method!!! 相当经典,只不过是MatLab源码，希望有哪位高手能转换成VC++源码!-feature-based image matching-- physiology Method! ! ! Quite classic, MatLab is the only source, which experts hope will be converted into VC source!

主要用于图像处理过程中,对图像的细化和边缘检测.-Mainly used in image processing for image edge detection and thinning

为编写Cellprofiler的新模块，matlab源程序。 用于分颜色显示不同的对象-CP for the preparation of new modules, matlab source. Show different colors for the sub-objects

一个数字图像处理的演示软件，包括各种变换，是图像处理学习者的良好参考-a digital image processing software demonstration, including transform, image processing learners is a good reference

1. 掌握图像分割的基本方法； 2. 理解图像边缘提取的基本概念； 3. 掌握进行边缘提取的基本方法； 4. 掌握运用多种边缘检测技术进行图像边缘提取的方法。 -1. Image segmentation master the basic method; 2. Image Edge Extraction understanding of the basic concepts; 3. edge extraction master the basic method; 4. master use of a variety of edge detection technology for image edge extraction method.

（1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 -(1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.

给定输入信号以及信噪比，计算出对应的噪声-For a given input signal and the signal to noise ratio to calculate the corresponding noise

自适应的一阶的，其余的自己看，我也是新入门，有不足的地方，请指教-an adaptive bands, and the rest of its own, I was a new entry, its inadequacy, please enlighten