DrawArcTest

说明：  图像配准，利用互信息进行图像配准，主要针对旋转和平移(Image registration using mutual information for image registration, the main response to rotation and translation)

说明：  基于内容的图片搜索，基于java实现，图片搜索及图像相似度计算(Content-based image retrieval)

使用经纬坐标方法矫正鱼眼图像，使得畸变后的鱼眼图像提取有效区域并矫正(Orthodontic fish eye image)

此程序为摄影测量的一个小环节，主要功能是求解影像畸变差，可根据相机内参数求解，简单实用(This program is a small part of photogrammetry, the main function is to solve the differential image distortion can be solved according to the camera parameters, simple and practical)

matlab产生iges文件 将图形导出为igs格式的文件，方便导入ansys和SolidWorks等(make iges project .it a very good function for you to link matlab and ansys or solidworks)

利用mathematica软件计算纳米光纤中的四波混频相位匹配曲线(FWM phase match wavelength calculation in nanofiber with mathematica)

针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.(View of the current challenges facing the field of industrial manufacturing, made use of non-metric digital camera precision sheet metal parts for industrial reconstruction and visual inspection. Using two-dimensional direct linear transformation and the decomposition of initial parameters of the camera bundle adjustment with high accuracy calibration extracted by the least square template matching, like the surface of point, line information and mixed bundle adjustment to the three-dimensional reconstruction of high-precision sheet metal parts and the size of the detection of manufacturing errors. visual inspection system developed by the hardware low cost, high degree of automation, the actual data, many experiments have achieved better than 1/8000 of the relative accuracy, that the methods discussed in the automation of industrial components to provide a feasible three-dimensional detection approach.)

说明：  a）针对合成纹理图像（共有4 个合成纹理图像，见文件夹： Texture_mosaic_data）中每一个像素提取纹理特征向量； b）利用聚类技术（推荐用k‐均值聚类，可以从网上查找原码）对特征向 量空间中的点进行聚类，类别数可根据图像中的实际纹理类数确定。最后把类 属标签映射成图像形式显示（如下图，其中b、d、f、h 为相应的基准分割图像）。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder: Texture feature vector is extracted from every pixel in texture; B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction The number of categories can be determined according to the actual number of texture classes in the image. Last class The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)

图片不规则变形源码，例程程序根据图片的计算，使用画板使图片不规则变形。(Pictures irregular deformation source , routine procedures according to the calculation of the picture, using the drawing board to make the image irregular deformation.)

说明：  对图像进行中值滤波，代码调试通过，附有lena图像(The image is filtered by median filter, the code is debugged and passed, and the Lena image is attached.)