图像分割

基于HOG的行人检测，作者的源代码有错误，现代码已经进行了改变，并可以调试通(Histograms of Oriented Gradients for Human Detection, the writer s code has some errors, and I have correct the errors, and the code is right under C++ buidler)

双边滤波器，对彩色图像进行处理，效果非常好！(bialteral filter)

Sobel edge detection algorithm

下面是利用卡尔曼滤波的方法，实现雷达对目标的跟踪:一目标沿水平方向运动，起始位置为（－2000米，1000米），运动速度为15米/秒，扫描周期T＝2秒， 米，采用蒙特卡洛方法对跟踪滤波器进行仿真，仿真次数为100次。(Below is the use of Kalman filtering method, to achieve the target tracking radar. Parameter :: a target in a horizontal direction, the starting position (2000m, 1000m), the motion speed of 15 m/s, the scan period T = 2 seconds, rice, Monte Carlo method using the tracking filter simulation, simulation 100 times.)

低对比度图像小目标识别,top-hat.海平面小目标(荧光轨迹,舰船)识别(top-hat, dim small target detecting)

说明：  自己写的Active Shape Model face segmentation 代码 (Write their own Active Shape Model face segmentation code)

用Visual C编的用于语音的频频谱的检测，能显示出来语音的频谱图。 (Visual C series of the spectrum for voice detection, displayed the frequency spectrum of the voice.)

说明：  matlab 4个图像特征函数代码，包括tamura texture、灰度差分统计特征函数、灰度共生矩阵特征函数、灰度梯度共生矩阵特征函数(Matlab four image feature function codes, including Tamura texture, gray difference statistical feature function, gray co-occurrence matrix feature function, gray gradient co-occurrence matrix feature function)

亚像素方面的相关源码!!!相信对你的学习会有帮助!(Related to source sub-pixel area!!! That would be helpful to your learning!)

图像匹配的实现，其中match.m：测试程序，sift.m :尺度不变特征变换（SIFT算法）的核心算法程序，appendimages.m: 该函数创建一个新的图像分别包含两个匹配的图像和他们之间的匹配对的连接直线，可以运行。 (The realization of image matching, which match.m: test program, sift.m: scale-invariant feature transform (SIFT algorithm) of the core algorithm, appendimages.m: This function creates a new image each consists of two images and matching match between them on the connection line, you can run.)