monitor

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.)

可实现偏振图像合成以得到强度图像，偏振度图像等(Polarization image synthesis can be achieved to obtain intensity images, polarization images, etc.)

低时延检测技术分析，包括免调度和信息重传，低时延(Low latency detection technology analysis, including free scheduling and information retransmission)

free image to be used freely

文本变图片源码例程,程序将文本转换到字节集数据，再取出每个字节数值进行计算后画到画板上。(After the text becomes image source routines , the program will convert the text to a set of bytes of data , and then remove each byte value is calculated to draw on the drawing board .)

2维线性判别分析算法，可以应用于人脸识别等图像处理问题中。(2 dimensional LDA algorithm,it can be applied to face recognition and other image processing problems.)

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).)

说明：  matlab编写的直线检测算法，能够有效的提取出直线。和matlab自带的hough变换实现的同样的功能(matlab prepared in a straight line detection algorithm can effectively extract the straight line. And the hough transform matlab own to achieve the same function)

H264的VERILOG代码,基本实现了全部的功能(H264 of the Verilog code, the basic realization of all the functions)

典型的LSB水印嵌入和提取算法，它是一个基本的matlab程序，可以帮助初学者入门 (typical LSB embedding and extraction algorithm, which is a basic Matlab procedures, Portal can help beginners)