gujiahua

区域生长法的图像分割，可以较好地提取脑部图像。(The region growing method can extract brain image well.)

对比了常见的几种去噪方法，含中值滤波，均值滤波，维纳滤波，高斯滤波，以及三种形态学滤波（一般的，改进的，多结构元素形态学滤波）(Comparison of several common Denoising containing median filtering, mean filtering, Wiener filtering, Gaussian filtering, as well as three morphological filtering (generally improved, multi-structural elements morphological filtering))

基于meanshift算法的目标跟踪，主要是基于opencv车辆跟踪！！！程序当中进行简单的图像分割(Based on the meanshift algorithm of image segmentation and target tracking.)

对图片预处理加入高斯噪声，各种经典边缘检测算子对图像进行边缘提取(Gaussian noise on the image pre-processing, a variety of classic edge detection operator to extract image edge)

将原图像进行退化处理（选择大气湍流导致图像模糊时相应的PSF），然后将退化后的图像进行复原（使用维纳滤波、直接逆滤波）.(The original image degradation process,and then restore the degraded image with Wiener filtering and inverse filtering.)

镜头指纹识别，提取镜头特征，对其他照片进行识别，判断是否来源同一相机。(Image Source Detection)

对ecg信号进行预处理，并检测ecg的r波，并进行特征提取，并在图中进行标注(On ecg signal preprocessing and detection of r ecg wave, and feature extraction, and marked on the drawing)

序列图像中运动小目标检测跟踪，实用性很强，张天序教授的硕士生撰写的学位论文(Image sequences small moving target detection and tracking, very practical, Professor Zhang Tianxu of graduate students writing dissertations)

未来线路预测,分析误差,粒子图像分割及匹配均为自行编制的子例程，能量谱分析计算。( Future line prediction, error analysis, Particle image segmentation and matching subroutines themselves are prepared, Energy spectrum analysis and calculation.)

CT反投影重建的R-L滤波函数与S-L函数，应用对象为matlab自带shepp-logan模型图像(R-L function and S-L function applying to CT backproject reconstruction)