km

实现Hough直线检测，标记直线的两端点坐标，再对相似的直线做曲线拟合，可以完美实现边缘连接。(Hough line detection, marking a straight line at both ends of point coordinates, similar linear curve fitting, can be the perfect realization of the edge connector.)

实现了C聚类以后的马尔科夫图像分割，对阈值的选取和图像的后验概率计算(C clustering after the Markov segmentation, the posterior probability threshold value is selected and images calculated)

一个基于小波模极大值边缘检测的程序，非常好用。(Based on wavelet modulus maxima edge detection program, very easy to use.)

经典的KSVD图像字典学习，matlab 代码，有注释，亲测可用(The classic KSVD image dictionary learning, matlab code, include notes, test available)

一个用于电子显微镜下运动细胞的识别跟踪的源代码，出自哈佛医学院的一位教授，对于做物体运动识别估计的各位很有帮助！(Under an electron microscope for cell identification and tracking movement of the source code, from a professor at Harvard Medical School, for the movement of objects do you identify the estimated useful!)

基于VC++的图像处理类，可以用于bmp文件的读写，显示(Based on the image processing VC++ classes that can be used to read and write bmp files, display)

自己编写图像平滑算法：均值滤波和中值滤波，设置不同的均值滤波模板，以得到最好的图像输出结果。(I have written the image smoothing algorithm: mean filter and median filter, mean filter set different templates to get the best image output.)

运用基于粒子滤波法和MEANSIFT算法实现视频序列的目标跟踪(The use of particle filter based algorithm and MEANSIFT tracking video sequences)

二维码形变校正，扭曲检测，初定位,边缘检测(calibration of a distorted QR code)

说明：  基于Kmeans算法的图像分割，一般Kmeans是数据挖掘中用来聚类的，本试验利用图像中的灰度值作为Kmeans算法的原始点，进行图像分割(Kmeans algorithm based on image segmentation, data mining in general Kmeans is used to clustering, the trial use of the image gray value as the original algorithm Kmeans spots for Image Segmentation)