ColorImageProcessing

立体视觉代码。主要过程包括：harris角点检测，zncc最优策略匹配，扩散得到更多特征对应，计算disparity和对应颜色值。另外提供了两幅图片以及对应的特征匹配的结果和disparity图像。(Three-dimensional visual codes. The main process includes: harris corner detection, zncc optimal strategy for matching, the proliferation of more features of the corresponding calculation of disparity and the corresponding color value. Also provides a picture and two corresponding feature matching results and disparity images.)

自主选择性的查看一幅图像中的部分区域的颜色直方图：允许用户在一幅图像中选择一个矩形区域，通过按住鼠标键画一个矩形，当鼠标放开是，高亮显示矩形框，同时在另一个独立的窗口中，使用画图函数画一个图表（选定区域的颜色直方图），分别用蓝，绿，红表示选中区域中每种颜色的像素数量。(Self-selective color in an image to view a partial area of ​ ​ the histogram: Allows the user to select a rectangular area in an image by holding down the mouse button to draw a rectangle when the mouse is released, the highlighted rectangle, Meanwhile in a separate window, using the drawing functions to draw a chart (selected color histogram region), respectively, with blue, green, red indicates the number of pixels in the selected area of ​ ​ each color.)

人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测人脸检测(Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection Face Detection)

精心收集的几个去噪算法，包括基于视觉的非线性去噪、BLS_GSM算法、NL-Bayes图像去噪、KSVD去噪等，内容为核心代码，需要配置完善。 (Denoising algorithm of several carefully collected, including visual based nonlinear denoising, BLS_GSM algorithm, NL-Bayes image denoising, KSVD denoising, the content as the core code, the need to improve the allocation of. )

本程序使用dcmtk库，可以显示大部分的DICOM图像。非压缩、压缩黑白图像以766灰阶显示，彩色图像正常显示。 对于初用dcmtk库的开发者来说，入门较难，本程序已使用VC6工程将主要库加入工程中，可以参考本工程的设置。另外，对于高于8位的黑白图像，本程序也提供一个处理方法的参考。(This procedure used dcmtk library, you can see that the majority of the DICOM image. Non-compressed, compressed to 766 gray-scale black-and-white images show that color image display. Dcmtk library used for the early developers, the entry more difficult, the procedure has been in use for the main library VC6 project will join the project, can refer to the project settings. In addition, higher than the 8-bit black-and-white images, the program also provides a reference method.)

输入一个带权无向图的顶点数、边数、各条边信息（两个顶点和权值），建立该图的邻接矩阵结构，输出该邻接矩阵。将上述无向图邻接矩阵转换为邻接表结构，输出该邻接表；根据该邻接表对无向图进行深度优先遍历序列和广度优先遍历序列，并输出遍历结果；用prim算法实现构造该带权无向图的最小生成树，并将该最小生成树的各条边信息输出。(Enter a weighted undirected graph with vertices, edges, each of the side information (two vertices and weights), the establishment of the adjacency matrix structure, the output of the adjacency matrix. The above undirected graph adjacency matrix into adjacency list structure, the output of the adjacency list according to the adjacency table undirected graph depth-first traversal sequence and breadth-first traversal sequence, and outputs through the results using prim algorithm construct the weighted undirected graph minimum spanning tree, and the minimum spanning tree information on respective sides of the output.)

基于像素标记的连通区域计算程序，只针对二值图像，随附有。(Based on regional connectivity calculation procedure pixel tags, only for the binary image, comes with.)

雷达成像Dechirp 脉冲压缩代码 ，感兴趣的可以看看。(Radar the imaging Dechirp pulse compression code, and can see the interest.)

说明：   最简单的差分格式有向前、向后和中心3种。 向前差分：f (n)=f(n+1)-f(n) 向后差分：f (n)=f(n)-f(n-1) 中心差分：f (n)=[f(n+1)-f(n-1)]/2(The easiest difference format forward, backward, and three kinds of centers. Forward differencing: f (n) = f (n+ 1)-f (n) Backward difference: f (n) = f (n)-f (n-1) Central difference: f (n) = [f (n+ 1)-f (n-1)]/2)

在分析聚束合成孔径雷j盘(SAR)方位向时频关系的基础上，提出了一种新的全孔径分辨率SAR成像算法。 根据SAR在条带与聚束模式下回波信号之间的差别，利用现有成熟的条带SAR成像算法实现先对聚束SAR各方位向子 孔径成像，而后再将各方位子孔径带宽合成为全孔径带宽，以形成具有全孔径分辨率的SAR图像，极大降低了系统PRF 的要求。(In the analysis of spotlight synthetic aperture radar dish j (SAR) azimuth based on the time-frequency relationship, a new full-aperture resolution SAR imaging algorithm. According to SAR in strip and spotlight mode, the difference between the echo signal, the use of existing mature band SAR imaging algorithm first bit of the spotlight SAR the parties to the sub-aperture imaging, and then place then all the bandwidth synthetic aperture the bandwidth for the full aperture to form a full aperture resolution SAR images, greatly reducing the system PRF requirements.)