my-DPCM

用于图像处理中的感兴趣区域的提取，以便对物体进行识别(extract the ROI in image process)

先将图像分成一个个小区域后在进行合并，最后得到要提取的目标(First image into a small area after carrying out the merger, the final goal has been to extract)

svd图像压缩，程序中使用了三种方法的SVD，包括直接svd，分块svd和小波svd(3 svd comprecessions.)

算法实现消除小面积的区域,保留面积大的区域.对去除小斑点很稳健.(Algorithm to achieve the elimination of small areas of the region to retain the large area of the region. For the removal of small spots very sound.)

基于图像的灰度共生矩阵方法的图像纹理分割(Gray-level image-based methods of co-occurrence matrix image texture segmentation)

利用边缘检测及梯度信息进行图像分割的源码(Using edge detection and gradient information source for Image Segmentation)

黑塞矩阵（Hessian Matrix），又译作海森矩阵、海瑟矩阵、海塞矩阵等，是一个多元函数的二阶偏导数构成的方阵，描述了函数的局部曲率。黑塞矩阵最早于19世纪由德国数学家Ludwig Otto Hesse提出，并以其名字命名。黑塞矩阵常用于牛顿法解决优化问题，利用黑塞矩阵可判定多元函数的极值问题。在工程实际问题的优化设计中，所列的目标函数往往很复杂，为了使问题简化，常常将目标函数在某点邻域展开成泰勒多项式来逼近原函数，此时函数在某点泰勒展开式的矩阵形式中会涉及到黑塞矩阵。(Hessian Matrix, is a square matrix of the second order partial derivative of the multivariate function, which describes the local curvature of the function. The Hesse matrix was first proposed by the German mathematician Ludwig Otto Hesse in the 19th century and named after it. Hesse matrix is often used in Newton method to solve the optimization problem, using the black plug matrix to determine the extreme function of the extreme value problem.)

利用小波边缘检测算法实现对图像的边缘检测，效果良好。(Wavelet edge detection algorithm on edge detection with good results.)

说明：  matlab实现图像灰度变换，感受各种不同的灰度变换方法对最终图像效果的影响。(Matlab Gray Image Transform, different feelings Gray transform the ultimate effect of images.)

这是一个比较完整的KPCA算法，通过这个算法可以快速的找到主要的特征向量进行主成分分析。(This is a relatively complete KPCA algorithm, this algorithm can quickly find the main feature vector principal component analysis.)