myimageprocess1

三个很好的程序，有染色体的识别，车牌跟踪，还有神经网络设计，肯定是非常好的，希望大家从中学习(Three very good procedures, there are chromosome recognition, license plate tracking, as well as neural network design, is certainly very good, I hope you learn from)

易语言仿彗星真彩PNG按钮源码，易语言写的图形图象编程，很好的参考。(Easy language imitation comet true color PNG button, easy graphics programming language to write, a good reference.)

基于克里金的插值算法，在此基础上生成等直线图，功能强大！(Based on Kriging interpolation algorithm generation based on this line graph, powerful!)

国外的牛人写的软件，数据降维工具箱，包含了几十种常用的流形学习方法的源码，自带图形界面。(A foreign master write this dimension reduction toolbox,there s dozens of code of common manifold learning methods. )

随机中点位移法模拟分形地形的MATLAB源代码，用于分形几何，实用！(Random midpoint displacement fractal terrain simulation of MATLAB source code for the fractal geometry, and practical!)

利用opencv+VC++实现对图像的边缘处理，从而对图像进行检测(Use opencv+ VC++ to achieve the edge of the image processing to the image detector)

说明：  采用双相位编码对图像进行加密解密，采用双随机相位加密技术得到的 S 分量的相息图, 在加密的过 程中引进了随机相位因子, 在不知密钥的情况下解 密出 S 分量几乎不可能, 从而保证了的安全性(Two phase encoding is used to encrypt and decrypt the image)

说明：  将已知的灰度图像逆时针旋转60度，矩阵运算，图像旋转(Rotate the known grayscale image 60 degrees counterclockwise, matrix operation, image rotation)

混合像元分解，是定量遥感中非常重要的组成部分之一，在反演地表参数时是必须要考虑的因素之一，文中罗列了分解的一些方法。(mixed pixel decomposition, is the quantification of remote sensing very important component of one of the the inversion of surface parameters is to be considered one of the factors, the paper listed some of the decomposition method.)

说明：  卷积神经网络（Convolutional Neural Network）是一个专门针对图像识别问题设计的神经网络。它模仿人类识别图像的多层过程：瞳孔摄入像素；大脑皮层某些细胞初步处理，发现形状边缘、方向；抽象判定形状（如圆形、方形）；进一步抽象判定（如判断物体是气球）。(Convolutional neural network is a neural network specially designed for image recognition. It imitates the multi-layer process of human recognition image: pupil ingestion of pixels; some cells in the cerebral cortex preliminary processing to find shape edges and directions; Abstract judgment of shape (such as circles and squares); and further Abstract judgment (such as judging objects are balloons).)