exp_2_1

利用meanshift算法对图像进行滤波。meanshift可用于滤波、追踪、聚类、分割等(The image is filtered by means of shift algorithm. Meannshit can be used for filtering, tracking, clustering, segmentation, etc.)

对微震图像进行去燥，利用同步压缩连续小波变换进行自动微震去噪和起始检测。(Denoising the microseismic image,automatic microseismic denoising and onset detection using the synchrosqueezed continuous wavelet transform.)

说明：  UNet最早发表在2015的MICCAI上，短短3年，引用量目前已经达到了4070，足以见得其影响力。而后成为大多做医疗影像语义分割任务的baseline，也启发了大量研究者去思考U型语义分割网络。而如今在自然影像理解方面，也有越来越多的语义分割和目标检测SOTA模型开始关注和使用U型结构，比如语义分割Discriminative Feature Network(DFN)(CVPR2018)，目标检测Feature Pyramid Networks for Object Detection(FPN)(CVPR 2017)等。(Its influence has reached 70% in 2015. Then it became the baseline that most of the medical image semantic segmentation tasks, and inspired a large number of researchers to think about the U-shaped semantic segmentation network. In the aspect of natural image understanding, more and more SOTA models of semantic segmentation and object detection begin to pay attention to and use U-shaped structure, such as semantic segmentation, discriminative feature network (DFN) (cvpr2018), feature pyramid networks for object detection (FPN) (CVPR 2017), etc.)

一幅真彩色图像的小波去噪方法实例。通过对一幅真彩色图像的RGB三个方面分别处理，把处理后的结果结合得到。(A true color image examples of wavelet denoising method. Through a true color image of the RGB three aspects dealt with separately, the results of the combination to be processed.)

三维数据去噪处理，一维。二维数据去噪也可以使用(3D data denoised)

说明：  实现区间缩小，通过labview实现数字归一化(To achieve the interval reduction, through labview to achieve digital normalization)

SART图像重建代码 基于C++ 主要用于CT等射线处理(code of image and with a wide application of CT, x-RAY , ETC)

说明：  一个简单的windows TDI框架,通过他可以熟悉TDI框架模型(A simple windows TDI framework through which he can familiarize himself with the TDI framework model)

纹理特征提取，比较使用的程序。适合图形图像处理方面的特征提取。(Texture feature extraction, comparing the use of procedures. Perfect for graphics image processing feature extraction.)

说明：  使用MATLAB提取二值图像特征值，并对连通区域进行标记、分析与计算(MATLAB is used to extract the binary image feature values, and mark, analyze and calculate the connected area)