threshold

说明：  对脑肿瘤进行分割 基于3dunet(Brain tumors were segmented based on 3dunet)

用spiht写的图像压缩代码，适用于基于DWT的图像压缩，欢迎下载(Written by SPIHT image compression code, the application of DWT-based image compression, welcome to download)

用小波变换多分辨对脑电慢波P300信号的特征提取(wavelet EEG P300 feature execute)

对可见光图片的人脸活体判断，内有C++和matlab实现，具体说明详见readme(For the visible light picture of the human face to determine, there are C++ and matlab implementation, specific instructions see readme)

文本变图片源码例程,程序将文本转换到字节集数据，再取出每个字节数值进行计算后画到画板上。(After the text becomes image source routines , the program will convert the text to a set of bytes of data , and then remove each byte value is calculated to draw on the drawing board .)

该文章包含了计算机视觉方面的论文及代码，如目标追踪、目标检测、人脸识别、机器学习、分割等(this document contains several papers and codes,such as object tracking、object detection、face recognition and so on)

说明：  a）针对合成纹理图像（共有4 个合成纹理图像，见文件夹： Texture_mosaic_data）中每一个像素提取纹理特征向量； b）利用聚类技术（推荐用k‐均值聚类，可以从网上查找原码）对特征向 量空间中的点进行聚类，类别数可根据图像中的实际纹理类数确定。最后把类 属标签映射成图像形式显示（如下图，其中b、d、f、h 为相应的基准分割图像）。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder: Texture feature vector is extracted from every pixel in texture; B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction The number of categories can be determined according to the actual number of texture classes in the image. Last class The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)

FDK最小角度重建，基于parker加权的投影数据处理实现的最小角度重见(FDK minimum angle reconstruction, the minimum angle parker weighted projection data processing based on the realization Shigemi)

图像处理方法的总汇，包含了滤波、灰度变换、对比度、亮度、二值等(The pool of image processing methods, including the filter, gray-scale transformation, contrast, brightness, and other binary)

对全息图进行卷积法的再现，利用matlab计算全息图模拟仿真(Reappearance of convolution method for hologram)