指纹增强

视频目标跟踪算法,用meanshift方法对目标进行跟踪(meanshift algorithm tracking)

说明：  通过选取初始种子点，进行图像的阈值分割，通过对比计算该点8领域灰度值是否符合阈值条件来对图像边缘进行分割(The image edge is segmented by choosing the initial seed point and comparing the gray value of the 8 domains of the point with the threshold condition.)

说明：  vc++调用matlab函数混合编程实现二值图像的区域标记。(vc++ call matlab function Matlab binary image of the regional markers.)

图像变换检测 主成分分析法 含PDF介绍(iamge change detection using PCA)

C++和halcon结合，用于图形处理时进行三相机标定(C++ and halcon combined for three camera calibration)

一种图像处理超分辨率重构方法，主要是利用图像稀疏表示的方法进行图像重构(Super-resolution reconstruction of an image processing method, mainly using sparse representation of image reconstruction methods for image)

说明：  图形图像出来库文件，挺好用的，直接包含进工程就可以用了 (Graphic images from the library files, good used directly included into the project can be used)

说明：  一种很好的基于改进的椭圆检测算法值得一看要(A good improvement on the ellipse detection algorithm to see)

算法程序可以求解带时间窗的车辆路径问题，期望大家上传的都是有说明的可以使用的程序(the program for the vehicle routing problem with time windows)

传统的图像分割方法可以分为基于阈值、边缘、区域的方法等，而传统的分割方法在复杂图像分割中效果不好。为了提高图像分割的性能，我们提出了一种基于局部自适应窗口的Otsu方法。首先，分析了传统阈值法在复杂图像分割中不能很好地形成的原因，比较了全局阈值和局部阈值对图像分割的影响。其次，提出了根据局部信息自适应地改变局部窗口大小的方法，分析了该方法的特点。最后，证明了所提出的新方法优于其他方法。实验结果表明，与其他传统方法相比，该方法能保持更多的细节，获得更满意的结果。(The traditional image segmentation methods can be divided into thresholding, edge and region methods. The traditional segmentation methods do not perform well in the segmentation of complicated images. In order to improve the performance of image segmentation, we propose an adaptive windowed range-constrained Otsu method based on local information.First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Secondly, a method of adaptively changing the local window size based on local information is proposed, and the characteristics of the proposed method are analyzed. Finally, the superiority of the proposed method over other methods, It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying results as compared with the other conventional methods.)