fenqusuanfa

说明：  几个白平衡程序，都能运行出来，可以用于水下图像偏绿偏蓝现象的颜色调整(Several white balance programs can be run)

A Drawable that manages an array of other Drawables. These are drawn in array order, so the element with the largest index will be drawn on top.

1990年—adaptive multi-band CFAR detection of an optical pattern with unknown spectral distribution.pdf

用MATLAB对两幅图片进行图像匹配,程序运用了两种匹配算法:1.sad算法2.ssad算法3.的采用界面输入输出方式.(MATLAB to two picture image matching, and the program using the two matching algorithms: 1. Sad algorithm 2.Ssad algorithm of the input and output interface mode.input/output mode.)

用于图像检测的正态分布计算的c代码实现，现在将这个函数写在头文件中了(Normally distributed computing for image detection of the c code, this function will now be written in the header file in the)

SAR成像算法的分析； SAR成傢算法简要介绍 ；Chirp-scaling算法 ； 分布式小卫星SAR解方位多普勒模糊的点目标仿真； 分布式小卫星SAR成像的仿真参数 ； 点目标成像仿真及结果 (SAR imaging algorithm analysis SAR algorithm married briefly Chirp-scaling algorithm distributed small satellite SAR azimuth Doppler ambiguity solution point target simulation distributed small satellite SAR imaging simulation parameters Point Target Imaging Simulation and results)

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.)

本代码是用Matlab实现图像的超分辨率重建，方法为凸集投影法，能从多幅低分辨率图像重建一幅高分辨率图像。(We use Matlab to reconstruct image. The method is convex projection on suoer-resolution(POCS).)

实现SURF特征点描述子算法，并使用Oxford Dataset图像自动进行精度评价(SURF feature descriptor and matching precision evaluation)

说明：  用opencv编写的视频捕捉以及边缘提取的程序，调试成功，另附调试用的avi视频，希望对大家有所帮助(Opencv prepared with video capture as well as the procedures for edge detection, debugging success, followed by the avi debug video, hope to help everyone)