Cpp1

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.)

Downsample image console program using opencv.

采用了Harrtraining和离子滤波算法实现了拥挤人群人头计数，非常有用。VC++和Opencv开发，采用Oepncv中的Harrtraining训练一个分类器即可运行(Human detection and tracking in high density crowds is an unsolved problem. Standard preprocessing techniques such as background modeling fail when most of the scene is in motion. We integrate human detection and tracking into a single framework, and in- troduce a conrmation-by-classication method to estimate condence in a tracked trajectory, track humans through occlusions, and eliminate false positive detections.)

说明：  mfc开发程序及经验，以工业相机采集系统为例进行了框架类的设计使其完成采集 存储 及图像的处理(mfc development process and experience with industrial camera acquisition system as an example of the framework class is designed to complete the acquisition and storage and image processing)

本程序可实现维纳滤波，可应用于反褶积等反问题的求解过程中，是非常简单实用的(This program can be realized Wiener filter can be applied to deconvolution inverse problems and the process is very simple and practical)

数字图像处理中常用的标准图像，包括大家所共知的lena等图片的高分辨率版本，推荐大家下载(Commonly used in digital image processing standard images, including all the known to the lena and other high-resolution version of the picture, we recommend downloading)

在文档下打开一个位图文件，重新绘制，放大并使其二值化显示，()

运用基于密度的聚类算法实现了超像素的分割(The segmentation of super pixels is realized by using the clustering algorithm based on density)

是关于图像的基础操作，包括图像倾斜矫正，图像增强，去除噪声，图像压缩等技术(It is on the image on the basis of operations, including image tilt correction, image enhancement, noise removal, image compression technology)

C语言下实现SIFT算法 用于图像特征匹配(C-achieve SIFT algorithm for image feature matching)