Proceduresbasedonwaveformmatching

一些阈值图像分割算法：迭代法；局部阈值；otsu；最大熵法等 (Some threshold image segmentation algorithm: the iterative method local threshold otsu maximum entropy method)

由rgb转化到ycrcb空间，再又ycrcb空间转化到rgb空间中(make a color space transmission from rgb into ycbcr，then transmit color space from ycrcb into rgb)

说明：  图像稀疏编码的一种方法，可用于基于稀疏表示的图像压缩、去噪等(Sparse image coding method can be used for sparse representation-based image compression, denoising, etc.)

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.)

说明：  matlab下面立体匹配和光流场计算代码，希望能对大家有所帮助。(matlab the following three-dimensional matching and optical flow field calculation code, hoping to be helpful to everyone.)

YUV多种图像处理方式，包括yuv2rgb,rgb2yuv.等等。但需要仔细调试(YUV multiple image processing methods, including yuv2rgb, rgb2yuv. And so on. But needs to carefully debugging)

说明：  可以直接调用，适用于各种利用contourlet工具箱做为工具的算法(Can be directly invoked, suitable for various algorithms using contourlet toolbox as a tool)

基于AR2模型的粒子滤波源代码，可用于图像处理，视觉跟踪，希望可以帮助有需要的人(AR2 model particle filter based on source code can be used for image processing, visual tracking, I hope to help people in need)

利用灰度积分投影直接对人脸图像进行检测和眼睛定位是一种常用的算法,但是直接采用该算法会受到背 景、特征等因素的影响,识别准确率较低。提出了一种基于最大类间方差阈值和区域膨胀相结合的检测与定位算法。该算 法首先计算最大类间方差设置阈值,把灰度图像转换为二值图像并检测出人脸区域,然后通过对该人脸区域中的连通区域 进行膨胀及连通性处理,精确定位眼睛坐标。实验表明,此算法可靠,具有较好的识别效果。(face recognized)

说明：  用labview实现图像的二值化，通过把图片转化为二维数组，通过和阈值比较把图像二值化(Achieved with labview binary image by the image into a two-dimensional array, and the threshold value by comparison to image binarization)