Labview

可以成功实现双目视觉标定,在做试验的时候成功实现(Binocular vision can be successfully realize calibration tests in the time to do the successful implementation of)

用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 (Target tracking application context radar data processing, radar in the search to the goals and objectives of the record location data of the measured target position data (called a point of the track) processing, automatic formation flight path, and the target in the next The moment the position prediction. This article briefly discusses the Kalman filtering method to predict a single target track, and by means of Matlab simulation tools to assess the effect of the experimental.)

二维相位展开算法 引导相位展开方法相质量运行QualityGuidedUnwrap2D的。 运行戈尔茨坦枝剪相位展开方法GoldsteinUnwrap2D。 （3D实施质量的制导方法，可根据要求提供）(2D PHASE UNWRAPPING ALGORITHMS Run QualityGuidedUnwrap2D for the phase quality guided phase unwrapping method. Run GoldsteinUnwrap2D for Goldstein s branch cut phase unwrapping method. (3D implementation of the quality guided method available on request))

利用小波边缘检测算法实现对图像的边缘检测，效果良好。(Wavelet edge detection algorithm on edge detection with good results.)

System Generator中伪彩色增强建模(Pseudocolor enhancement model in the System Generator)

AGV路径图像识别：通过CCD摄像机系统路径标线的图像，后续图像处理和识别算法性能(Image Recognition path: the path through the CCD camera system marking the images, follow-up image processing and recognition algorithm performance)

图象特征的边缘轮廓提取算法，对初学者很有帮助。(characteristics of the image edge contour extraction algorithm, useful for beginners.)

本案例采用基于块匹配的图像拼接流程来执行拼接操作，载入图片文件夹来作为待拼接对象，通过进行图片序列的匹配、融合来得到拼接效果，并分别对灰度图像、彩色图像进行处理。(This case is based on block matching process to perform image stitching splicing operation, load images folder as an object to be spliced, by matching the fusion image sequence to get the mosaic effect, respectively, on the gray image, color image processing .)

说明：  本代码总结了信息熵、条件信息熵、PSNR、SSIM等图像评价指标(This code summarizes information entropy, conditional information entropy, PSNR, SSIM and other image evaluation indexes)

包含基于三种不同方法的应用于图像处理的矩阵低秩分解的matlab算法，可以将目标图像分解为一个低秩图像和一个稀疏图像之和；并包含一种基于区域生长方法的图像区域识别程序，可以用来提取图像中的目标。(Containing used in image processing based on three different methods of low-rank matrix decomposition algorithm matlab, the target image can be decomposed into a low rank of the image and the image and a sparse and contains a region growing method based on image area recognition program It can be used to extract the object in the image.)