HappyVDay_matlab-code

说明：  HOG LBP 在python matlab C++环境下的实现(Implementation of HOG LBP in Python matlab C++ environment)

利用位图图像中的冗余数据位，将小文件嵌入到大的图像文件中，并保持原图像不变。(The use of bitmap images in the redundant data bit will be embedded in small files to large image files, and to maintain the original image unchanged.)

matlab编写的截断半径45时，低通滤波器对与图像的影响，画图比较滤波前后的对比图。(matlab truncation radius of the preparation of 45, the low-pass filter and image of the effect of drawing the contrast to compare before and after filtering Fig.)

曲波变换程序包，带有测试图片。请尊重别人的劳动。(Qu Bo transform package, with a test picture. Please respect other people)

感兴趣区域提取,已通过实验证其可行性以及实用性(region of interest detect )

双峰法分割图像是一个比较经典的同时也是一个比较使用的图像分割方法(The bimodal France segmented image is a classic is also a use of image segmentation method)

这是一种小波对图像进行除燥的算法，它的比较好，对小波的初学者很实用，可以看看(This is a kind of wavelet algorithm for the image in addition to dry, it is good, very useful for the beginners of wavelet, can have a look)

说明：  使用pca方法对图像进行特征提取，对训练集的20个人的共一百张人脸进行训练，使用adaboost算法生成强分类器，可以对测试集的人脸图片进行识别，且识别率较高(The PCA method is used to extract the features of the image, and the training is carried out for a total of 100 faces of 20 people in the training set. The AdaBoost algorithm is used to generate a strong classifier, which can recognize the face images in the test set with a high recognition rate)

说明：  视频动态报警开发,动态处理视频轨迹(Dynamic development of video alarm, dynamic video trajectory treatment)

基于遗传模拟退火和Otsu法的图像分割。采用一种基于模拟退火算法(SA)的混合遗传算法(GASA),来进行Otsu方法选择阈值，其中进行求解时是非线性的遗传算法（GA）的应用优化了求阈值过程，并尽可能地减少其运算量,而加入SA则避免了遗传算法(GA)常见的早熟收敛现象,从而实现有效简单的图像分割。 (adopt hybrid genetic algorithm(GASA) based on simulated annealing algorithm,choose threshold by Ostu method,which applicated the non-linear genetic algorithm(GA) allows us to optimize the process of threshold. And, where possible, to reduce the computation. in order to achieve effectivly and simply image segmentation. Combination SA is to avoid the common phenomenon about premature convergence in genetic algorithm (GA) to achieve a simple and effective image segmentation.)