在总结和分析现有运动目标检测与跟踪方法的基础上，建立了一个视频序列采集的动态目标检测及跟踪系统...

图像二值化，用于医学图像处理。设定域值，将图像分成两色，以便于分割重建等操作。-Image Binarization for medical image processing. Domain value set will be divided into two color images in order to facilitate the segmentation reconstruction operation.

canny 算子的说明和源代码 文档文件-canny operator instructions and source code document

利用数学形态学进行图像处理中的腐蚀和膨胀的源码-The use of mathematical morphology to image processing and expansion of the source of corrosion

将TV信号转换到VGA信号，通过FPGA的转换可以直接在显示器上显示。-TV signals will switch to VGA signal, through the FPGA conversion can be directly displayed on the monitor.

程序代码说明 P0502：计算图像中的欧拉数-code P0502 Note : computer images of Euler number

数字图像处理，二值化变换 内含参数图片，源码-Digital image processing, binary image transformation contains parameters, source

对比度拉伸，对原始图像进行对比度拉伸，从而得到拉伸后的图像-tensile contrast, the original image contrast stretching, and thus drawing the images

track1.m是二值图像边界跟踪的主程序，boundary_trace.m是二值图像边界跟踪的调用程序，完成图像的边界跟踪。 track2.m是灰度图像边界跟踪的主程序，boundary_trace2.m是灰度图像边界跟踪的调用程序。-track1.m is a binary image of the main border track, boundary_trace.m is a binary image border call tracking procedure to track the completion of the border image. track2.m gray image is the border of the main track, boundary_trace2.m is a gray image boundary tracking procedure call.

视频水印matlab源码，此为第五个压缩包，在水印领域的爱好者可以下载作为参考-Video Watermarking Matlab source, which is the fifth-compressed, Watermark in the field of lovers can download as a reference

深入浅出介绍计算机视觉的最新动态。内容包括： * Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration * Extracting camera motion and scene structure from image sequences * Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms * Image-based lighting for illuminating scenes and objects with real-world light images * Content-based image retrieval, covering queries, representation, indexing, search, learning, and more * Face detection, alignment, and recognition--with new solutions for key challenges * Perceptual interfaces for integrating vision, speech, and haptic modalities * Development with the Open Source Computer Vision Library (OpenCV) * The new SAI framework and patterns for architecting computer vision applications-Easy to introduce the latest developments in computer vision. Include:* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration* Extracting camera motion and scene structure from image s