This is a realization of discrete cosine transform procedures, including ordinar...

此算法是基于小波变换模极大的多尺度图像边缘检测-this algorithm is based on the wavelet transform modulus maxima Multiscale Edge Detection

跟踪相关论文，《基于彩色图像的机器人视觉跟踪》《基于扩展卡尔曼滤波的主动视觉跟踪技术》《基于视觉和扩展卡尔曼滤波的位姿和运动估计新方法》《一种运动目标检测与跟踪快速算法的研究》-Tracking the relevant papers, based on the color image of the robot visual tracking , Extended Kalman Filter based on active vision tracking technology, Based on the visual and extended Kalman filter and the position and orientation of new motion estimation method , a moving target detection and fast algorithm for tracking of Study

边缘检测与分割源代码 edgedetect.m, houghtr.m, quadtree.m, regrow.m, sobeledge.m, straightline.m, thresh.m, watersd.m 算法包括Prewitt、Roberts、Log、Canny、Sobel算子实现边缘检测，基于Hough变换的直线检测，4叉树区域分割，分水岭分割。（算法对应源文件名）-Edge Detection and Segmentation of the source code edgedetect.m, houghtr.m, quadtree.m, regrow.m, sobeledge.m, straightline.m, thresh.m, watersd.m algorithm includes Prewitt, Roberts, Log, Canny, Sobel Operator realize edge detection, Hough Transform-based line detection, 4-tree region segmentation, watershed segmentation. (Algorithm for the corresponding source file name)

计算机视觉一书（马颂德）中的标定程序，使用了书中提供的数据，简单供大家参考-First Book of Computer Vision (Ma Songde) in the calibration procedures, the use of book data provided by a simple reference for everyone

可以对图像进行纹理分析，已经调试通过，效果较好，对需要纹理特征提取的朋友很有用。-Images can be texture analysis, debugging has been passed, the effect of better texture feature extraction of the required useful friends.

彩色图像分割算法，首先基于直方图粗分，而后通过kmeans细分，得到分割结果-Color image segmentation algorithm, first, rough segmentation based on histogram and then broken down by kmeans get segmentation results

yuv图像的相关知识，希望能对大家有帮助-yuv image-related knowledge, hoping to have everyone help

直方图变换是图像处理中常用的一些算法，该算法是用c语言实现的。-Histogram image processing transform is commonly used in some algorithm, which is the c language.

本科毕业设计中所做的关于canny边缘检测算法改进的程序源码，实现了自适应双阈值和动态阈值算法-Graduate design done on the canny edge detection algorithm to improve the procedures for source code to achieve the adaptive dual-threshold and dynamic threshold algorithm