envifile2tif

已知一图像的轮廓，计算该轮廓质心，并标注在图上(A known the outline of image, the contour centroid calculation, and marked on the map )

这是关于将jpeg压缩的具体算法的原始论文，利于学习。pdf格式(a pdf file about how to encode jpeg,this is the original paper good for your learning)

HOG特征提取源代码，这份代码是针对行人检测编写的，可以根据个人需要设置参数。(HOG Feature Extraction source code, this code is written for pedestrian detection, you can set the parameters according to individual needs.)

图像的纹理特征参数的灰度共生矩阵的计算，该方法效果好，速度快，易理解。(The image texture characteristic parameters GLCM calculation, the method effective, fast, easy to understand.)

说明：  注：运行前自己准备图像，修改I = imread('')单引号中的路径 1. 给一张灰度图添分别添加高斯噪声和椒盐噪声。然后分别进行均值滤波和中值滤波，并把处理后的图片保存。 2. 图像频域处理，对图像进行傅里叶变换，进行高通滤波，显示处理结果。 3. 图像平移和旋转 4. 分别用OSTU阈值法和全局阈值法分割图像，然后进行腐蚀和膨胀处理，显示处理结果。(Note: Prepare the image by yourself before running, modify the path in single quotes of I = imread('')1. Add Gaussian noise and salt and pepper noise to a grayscale image. Then perform mean filtering and median filtering respectively, and save the processed pictures.2. Image frequency domain processing, Fourier transform of the image, high-pass filter, and display the processing result.3. Image translation and rotation4. Separate the image with OSTU threshold method and global threshold method, and then perform corrosion and dilation processing, and display the processing results.)

实现图像的几何变换，用控制栅格的方法来将一幅变形的图片恢复原型(Image geometric transformation, with control of the grid method to deformation of an image to restore the prototype)

文档里，给出了基于交互式多模型方法的目标跟踪原理建模的方法，并附带了分析和仿真程序，很不错的，值得下载学习(Documentation, tracking principle gives the modeling method based on the target interactive multiple model approach, and comes with analysis and simulation procedures, very good, it is worth learning download)

用TV算法实现图像去噪，包含TV，PM模型等(in this MTV, the diffusion is along the edge direction of the original noisy image(maybe its smoothed version using a Gaussian filter of small scale),it can preserve edge and suppress staircase very well.)

奇异值分解波束形成，自适应波束形成仿真。由均匀线阵形式，确定阵列的导向矢量；由阵列导向矢量，对接收信号进行建模仿真；根据约束条件，实现自适应波束形成算法；考察算法性能与信噪比，采样率，观测时间等参数的关系。 (SVD beamforming, adaptive beamforming simulation. Form by the ULA to determine the array steering vector by the array steering vector, the received signal modeling and simulation under constraint conditions, adaptive beamforming algorithm examine algorithm performance and signal to noise ratio, sample rate, observation time, etc. parameters.)

利用双线性插值，获取亚像素位置的灰度值。适用于得到sift、surf得到的特征点坐标处的灰度值获取(The gray value of sub-pixel position is obtained by bilinear interpolation)