INSARjiechanchao

本m文件实现的是正面人脸的提取，基于YCbCr空间肤色区域提取和形态学的处理(this document is the realization of the right face extraction, YCbCr color space based on regional extraction and processing of morphological)

adaboost的实现算法，可进行人脸的样本训练(implementation of the AdaBoost algorithm, can be a sample of people face training)

graphcut的最新改进，在网格上应用graphcut，作者将其称为gridCut,此压缩包内含文章与源代码，出自CVPR2012,关注计算机视觉的同学可以详细参考，代码已调试通过(the new advance of graphcut, named gridCut, derived from CVPR 2012, useful to guys on ComputerVision.The code is runnable.)

数据库是由10个人的7种正面表情组成的213幅灰度图像，图像是以大小为256256的8位灰度级存储的，格式为.tiff型，平均每个人每种表情有2到4张。( the JAFFE database[11] which is composed of 213 images of female facial expression corresponding to 10 distinct subjects. Each image is stored at a resolution of 256×256 pixels and 8-bit gray level. Each subject in the database is represented with 7 categories of expression (angry, disgust, fear, neutral, sadness, happiness and surprise). )

利用visualC++和图像处理的知识，编写程序对果蔬进行自动识别(Using visualC++ and image processing knowledge, write a program for automatic identification of fruits and vegetables)

说明：  方向梯度直方图检测算子，能够提取图像的HOG特征，进行分类与识别(Directional gradient histogram detection operator can extract the hog features of the image for classification and recognition)

说明：   最简单的差分格式有向前、向后和中心3种。 向前差分：f (n)=f(n+1)-f(n) 向后差分：f (n)=f(n)-f(n-1) 中心差分：f (n)=[f(n+1)-f(n-1)]/2(The easiest difference format forward, backward, and three kinds of centers. Forward differencing: f (n) = f (n+ 1)-f (n) Backward difference: f (n) = f (n)-f (n-1) Central difference: f (n) = [f (n+ 1)-f (n-1)]/2)

说明：  对遥感影像融合质量评价的程序，输出均值 标准查 信息熵 相关系数 光谱保真(To evaluate the fusion quality of remote sensing image, output the mean value standard to check the spectral fidelity of entropy correlation coefficient)

无源双基地雷达直达波脉冲丢失与相位突变影响分析Passive bistatic radar direct wave pulse loss and phase change impact analysis(Passive bistatic radar direct wave pulse loss and phase change impact analysis)

形态学方法区域分割，利用区域生长算法，实现区域分割(Morphological method for region segmentation and region growing algorithm for region segmentation)