hrrpfangzhen

说明：  可以用于图像的canny滤波处理，直接输入图像，可以保存下来处理后的canny图像(It can be used for canny filtering of images, directly inputting images, and preserving processed canny images.)

说明：  图像自适应阈值分割，基于直方图的图像阈值分割(Image adaptive threshold segmentation)

对监控视频中的目标进行识别，提取背景信息(The target in the surveillance video is identified and background information is extracted)

用verilog实现sobel边缘检测算法(sobel edge detection with verilog language)

协方相关算法获得电子散斑条纹图.带入变形前后两张散斑图片,可得到反映变形等势的条纹图形.(HS side-correlation algorithm to obtain the electronic speckle pattern. Into two speckle images before and after deformation, can reflect the deformation of equipotential stripes graphics.)

说明：  利用matlab的gui设计的带有输入和输出功能的界面图形，可视性很强，学习非常值得(The interface graphics with input and output functions designed by GUI of MATLAB have strong visibility and worth learning.)

图像移动，随着鼠标移动图像，可以自由在空间内平移(image auto move)

在matlab中的分形图像放大程序；对初学者很有用哦！(In the matlab source code to raise the image resolution is indeed very useful!)

说明：  全景图像拼接的源代码，可将多幅照片拼接为周视全景图像，很不错。(Panoramic image mosaic of the source code, multiple photos can be spliced for the week as the panoramic image, very good.)

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.)