VMD_tu

图像分割在医学图像，智能识别上的应用，虹膜识别(Image segmentation in medical imaging, intelligent recognition on the application of iris recognition)

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.)

用hilbert曲线扫描图像后，进行图像检索的代码，里面有很多有用的代码(After scanning the image with the hilbert curve, the image retrieval code, there are a lot of useful code)

说明：  利用那些已经被破坏的区域的边缘， 即边缘的颜色和结构，根据这些图像留下的信息去推断被破坏的信息区的信息内容，然后对破坏区进行填补 ，以达到图像修补的目的(Using the edge of the damaged area, i.e. the color and structure of the edge, the information content of the damaged information area can be inferred from the information left by these images, and then the damaged area can be filled to achieve the purpose of image repair.)

两次利用大津法对图像进行分割，将前景与背景，白色区与背景分割开，并二值化。(Otsu method twice using image segmentation, the foreground and background, white background area and separate, and binary.)

基于核函数的FCM算法在医学图像分割上的应用(The application of FCM algorithm based on kernel function in medical image segmentation)

一种水平投影和垂直投影来分割车牌的m文件(A horizontal projection and vertical projection to the m file partition plate)

采用归一化互相关的算法进行图像匹配，经过测试非常有效(Normalized cross-correlation image matching, tested very effective)

图像延拓 求极大值极小值图像 并找到极值点所在的位置(Image continuation for maximum minimum image and find extreme value point s location)

Image AND Video Segmentation Current Status