zhongzhilvbo

刚才传的所有程序试验处理的图像(passed the test procedures to deal with all the images)

说明：  用数字图像处理方法提取书法特征 实现书法骨架提取(Using digital image processing method to extract calligraphy features)

说明：  使用shp文件裁剪矢量数据，可自己选择矢量文件，栅格文件，输出文件(Use SHP file to crop vector data. You can choose vector file, grid file and output file)

为方便土地利用总体规划编制单位制作土地利用总体规划图件，针对市、县、乡三级土地利用总体规划制图，制作市、县、乡土地利用总体规划必选图件的图式符号库。该图式符号库适用于ArcGIS软件平台下的图件制作(In order to facilitate the land use master planning units to make land use master plan maps, for the city, county, Township three-level land use master plan mapping, the city, county, Township land use master plan must be selected map schema symbol library. The graphic symbol library is suitable for map making under the ArcGIS software platform.)

说明：  声呐或者雷达系统发射信号后，通过波束形成算法对两个目标（方位分别为theta1、theta2）回波进行仿真，经过相位补偿，可以看出图像有两个波峰，波峰处指向性函数峰值最大，峰值所对应的的角度值即为目标的方位角。所以该程序对数字波束形成（DBF）的原理进行了仿真，适合初学者掌握阵列信号处理中数字波束形成的原理。(After the sonar or radar system transmits the signal, the echo of the two targets (the azimuth is theta1 and theta2 respectively) is simulated by the beamforming algorithm. After the phase compensation, it can be seen that the image has two peaks, the peak of the directivity function is the largest, and the corresponding angle value of the peak is the azimuth of the target. So the program simulates the principle of DBF, which is suitable for beginners to master the principle of DBF in array signal processing.)

针对电气设备同一场景的红外与可见光图像间一致特征难以提取和匹配的问题，提出了一种基于斜率一致性的配准方法。首先通过数学形态学方法分别提取红外与可见光图像的边缘，得到粗边缘图像；然后通过SURF算法提取两幅边缘图像的特征点，根据正确的匹配点对之间斜率一致性的先验知识，进行特征点匹配；最后通过最小二乘法求得仿射变换模型参数并实现两幅图像的配准。实验结果表明，该方法有效提高了匹配点对的正确率，能够对电气设备红外和可见光图像实现高精度的配准。(In this paper, a method based on slope consistency is proposed to solve the problem that the uniform features of infrared and visible images are difficult to extract and match. Firstly, the edges of infrared and visible images were extracted by mathematical morphology, and the rough edge images were obtained. Then, the feature points of two edge images were extracted by SURF algorithm, and the priori knowledge of slope consistency was obtained according to the correct matching point, and the feature points were matched. Finally, the model parameters of affine transformation are obtained by least square method and the registration of two images is realized. The experimental results show that this method can effectively improve the accuracy of matching points, and can realize high precision registration of infrared and visible images of electrical equipment.)

说明：  图像处理方面的简单程序，可以实现图片的大小转换，从而制作自己的图像模板(make your own picture)

光学图象几何畸变的快速校正算法Fast optical image geometric distortion correction algorithm(Fast optical image geometric distortion correction algorithm Fast optical image geometric distortion correction algorithm)

基于SURF特征点的图像配准代码，可实现两幅图的特征提取及匹配(SURF feature points based on image registration code)

基于盲解卷积的相位差算法，图像恢复，文件包里面有仿真和LBFGS优化算法(The phase difference based on blind deconvolution algorithm, vogel)