imagetest12

极化合成孔径雷达中，常用的精致极化lee滤波器程序，可以较好的表现出图像信息(Polarization synthetic aperture radar (SAR), commonly used delicate polarization lee program, we can better filter show image information )

使用sift算法，找出图像的关键点，使用关键点作为匹配因子对两幅图像进行匹配，数据库中包含了丰富的可用图片库。(Use sift algorithm to find the image of the key points, key points to use as matching factor of two images match, the database contains a wealth of available gallery.)

探索图像恢复中出现的正则化方法及其理论基础，进一步发展Tikhonov正则化方法，得到图像恢复算法和工程实际中一些病态问题的解，进一步发展已有的数值解 法,(Exploration of image restoration emerged regularization method and its theoretical basis, the further development of Tikhonov regularization method, the image restoration algorithm and engineering solutions of some ill-posed problem, the further development of existing numerical method,)

使用K-L算法进行人脸识别，在经典的算法基础上加上了正确率统计模块，对正确率的分析很有帮助( 分析很有帮助 Implement face recognition Using K-L algorithm, Added the rate of correct module to the classical algorithm, It s helpful to analysis the rate of correct.)

burch型全息图，经测试能正常运行，结果含原图，全息图，再现图(Burch-type hologram, by testing the normal operation, the result with image, hologram, reproduce Figure)

基于置信传播的立体匹配算法，匹配精度较高(Stereo matching algorithm based on belief propagation, high matching accuracy)

处理图像，利用提出高频的方法，把图像中的裂纹提取出来。能比较好的把背景图像和裂纹分割开来。(Processing images, the use of the proposed high-frequency method of the cracks in the image extracted. Good background image and crack separated.)

利用PCA检测图像的复制粘贴区域。检测效果良好。(PCA was used to test digital image s copy and paste area.)

Visual C++数字图像处理技术与工程案例，各章节源代码，这是第一章的代码(The Visual C++ digital image processing technology and engineering cases, the source code of each chapter, this is the first chapter of the code)

偏最小二乘线性判别分析， 以及变量选择方法(partial least squares-linear discriminant analysis)