2D-Wavelet-Transformation

基于matlab的色差图像分割程序，可以实现复杂背景下的图像分割。(Matlab based on the color image segmentation procedure, the complexity can be achieved in the context of image segmentation.)

图像、视频经常因为抖动而造成模糊，去模糊也是图像处理领域的难点和热点。算法实现单方向匀速运动的图像去模糊，是一种简化处理方式。(Images, video, often due to jitter caused by vague, to blur the field of image processing is also difficult and hot. Algorithm for single images to the direction of uniform motion blur, is a simplified approach.)

基于RADON变换的。运动模糊处理，其中程序请按说明使用(Based on the RADON transform. Motion blur processing, in which procedures follow the instructions to use)

C语言实现bmp图像放大缩小，24位bmp图像(The C language bmp image zoom, 24 bmp image)

图像特征提取 梯度直方图 matlab代码 能提取图像特征向量。(Image feature extraction the gradient histogram matlab code can be extracted image feature vectors.)

一段修改后的变色龙聚类算法，可用于无监督聚类。(A modified chameleon clustering code, using matlab.)

利用背景减除法进行运动前景分割，而后利用归一化RGB颜色空间进行阴影减除，利用连通域进行滤澡，对每一帧进行运动前景提取。(Motion detection by background subtraction and RGB shadow removing method.)

用协方差方法估计AR模型参数,进而实现功率谱估计,()

在matlab中实现透视变换。算法正确高效，这种仿射变换经过修改后可用于图像矫正或者摄像机标定等用途。(Matlab in perspective transformation. Correct and efficient algorithm modified this affine transformation can be used to image correction or camera calibration purposes.)

分为行人检测，特征提取，行人跟踪三步，其中最主要的代码也是这个代码的中心是行人跟踪这一部分，我采用的是kalman滤波器进行行人下一帧位置的预测，可以很好的提高行人跟踪的鲁棒性，跟踪结果比较准确。(Into pedestrian detection, feature extraction, pedestrian tracking steps, which is the center of the main code of the code is pedestrian tracking this section, I kalman filter is used to predict the position of the next frame pedestrians, can be a good improvement pedestrian tracking robustness, tracking results more accurate.)