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Digital-Image-Processing
- MFC和OpenCV结合的数字图像处理课程设计，实现数字图像处理中的多个算法，图像分割，形态学图像处理，空间域增强，哈哈镜，二值化，Sobel，Laplace，Robert等边缘检测，中值滤波和均值滤波等，实现的功能比较全，花了我2个通宵做的 -MFC and OpenCV combination of digital image processing course design, digital image processing of multiple algorithms, image
BAH1
- 用卡尔曼滤波和自适应窗口的均值偏移算法再结合Bhattacharyya系数粗定位实现视频目标跟踪-Kalman filtering and adaptive window mean shift algorithm combined with coarse positioning Bhattacharyya coefficient for video tracking
MeanShift-Kalman-tracking-algorithm
- 结合kalman滤波的meanshift跟踪算法，meanshift算法是一种经典的均值漂移跟踪算法，采用颜色直方图作为跟踪特征，具有很高的稳定性和鲁棒性，kalman滤波是一种线性滤波预测算法。在meanshift算法中引入kalman滤波，可以提高算法的稳定性，同时提高算法执行效率。代码中除了avi格式视频读取采用opencv库函数外，核心算法均为纯C++实现，注释详细，很容易理解，同时具有很高的参考价值。 -Meanshift kalman filtering combined track
Image-Denoising-based-on-opencv
- 这是一段利用中值滤波、均值滤波与加权(高斯)滤波算法进行图像去噪的程序，比较基础，供初学者阅读。-This is a median filter, with a weighted mean filter (Gaussian) filtering algorithm for image denoising procedures, more basic, for beginners to read.
BoxFilter
- 自己编写的c代码，实现图像的快速均值滤波，采用盒子积分算法。-C write your own code, to achieve fast average filtering of the image, using box integration algorithm.
滤波
- 提供5种滤波算法，分别是//方框滤波//均值滤波//高斯滤波 //中值滤波 //双边滤波(5 filtering algorithms are provided, which are block filtering, mean filtering, Gauss filtering, median filtering, and bilateral filtering)