先对图像进行开闭滤波，再使用分水岭分割图像，然后使用FCM对初始分割进行聚类，得到最终分割结果，对医学图像效果比较好。...

基于统计的图像增强,利用此程序可以方便的进行增强处理，得到良好效果-Image enhancement based-on local statistics using colfilt

程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例――从PCB图像中删除所有电流线，仅保留芯片对象-Procedure Code Description P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line threshold Image segmentation method P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: morphological examples- from PCB image delete all current lines, retaining only the target chip

应有尽有，图片改变位置，锐化，图像的变换-Everything, pictures, change the location, sharpening,

基于kmeans的图像分割算法，首先得到图像，再确定分类，并计算各分类的均值，从而得到各个像素的分类。-Kmeans-based image segmentation algorithm, first of all get the image, and then determine the classification, and calculate the various categories mean, and thus obtain the classification of each pixel.

基于结构特征的虹膜识别源码　vc++。 － -based on the structural characteristics of the iris identification source vc.-

实现LLE算法，本算法是改进的LLE算法，主要是针对人脸图像的。

基于离散2维小波变换的彩色图像水印程序。输入原图和logo，可直接得到水印图像。-Based on discrete wavelet transform 2-D color image watermarking program. Input original image and logo, watermarked image can be obtained directly.

OpenCV 源代码 CHM 格式! 适合于计算机视觉和图像处理开发!-CHM format OpenCV source code! Suited to computer vision and image processing to develop!

由于只是利用图像的灰度信息，sl 算法不能很好地区分形状相似但颜色不同的物体：针对这一问题，提出了一种基于彩 色的SIFT特征点提取算法，并着重分析了多种彩色模型对算法性能的影响?这种算法也是在图像的灰度尺度空间上检测特征点， 但其特征向量由各描述子子区域的彩色模型分量的均值组成并在原始的彩色图像上进行计算：实验结果证明了该算法的有效性。-Abstract：Because only the gray scale information is utilized．the SIFT method can’t differentiate the objects with similar shape but with diferent colors commendably．1,1 order to solve such problem．presents a color―based SIF I feature point detecting method and analyzs the method’S performance in temas of diferent color models The method detected interest points in the gray image scale space，and its eigem eetors al’e composed of the mean 、 alues of different color model components in each subregion and are computed based on the Ol。iginal color images．Tile experimental results have proved its validity

源码包含了常见的图像形态学算法，如图像基本逻辑运算，阈值分割，边缘处理，孔洞填充等-Source image contains a common morphological algorithms, such as images of basic logic operations, threshold segmentation, edge treatment, holes filled, etc.