一篇关于医学图像分割方法的调查研究，该文章总结了常见的医学领域中的图像分割方法。...

本函数包括三个例程 一个图像去噪（椒盐） 一个寻找图像中特定方向的直线 一个自己写的图像线形过滤-this function include a three routines image denoising (Impulse) looking for a specific image in the direction of a straight line since Image has written linear filter

多边形常用算法模块 1. 判断多边形是否简单多边形2. 检查多边形顶点的凸凹性 3. 判断多边形是否凸多边形 4. 求多边形面积5. 判断多边形顶点的排列方向，方法一 6. 判断多边形顶点的排列方向，方法二 7. 射线法判断点是否在多边形内8. 判断点是否在凸多边形内-Does the polygon commonly used algorithm module 1. judgements polygons whether simple polygon. 2. inspections polygons apex convex-concave. 3. judgements polygons whether raised- polygon. 4. ask the polygon area. 5. judgements polygons apex the arrangement direction, the method 1. 6. judgements polygons apex arrangement direction, the method 2. 7. beams methods to sentence the break point whether. 8. sentences the break point in the polygon whether in raised- polygon

图像特征提取，包括：颜色直方图，颜色矩，边缘直方图，Gabor小波变换，局部二值图，GIST。-Image feature extraction, including: color histogram, color moment, the edge histogram, Gabor wavelet transform, partial binary image, GIST.

图像模式识别―VC++技术实现，杨淑莹编著，可实现图像聚类-Image Pattern Recognition-VC++ Technology, edited by杨淑莹, achievable image clustering

对 图像 进行垂直镜像 处理 的源代码-right vertical mirror images of the source code

利用数学形态学进行图像处理中的腐蚀和膨胀的源码-The use of mathematical morphology to image processing and expansion of the source of corrosion

实现了SIFT特征点的提取和匹配功能，匹配算法使用的是ANN最相似最近邻居法。-Achieved a SIFT feature point extraction and matching, matching algorithm using ANN is most similar to nearest neighbor method.

一篇介绍粒子滤波的资料，介绍的很详细，适合研究粒子滤波的初学者，希望对大家有帮助-Introduce a particle filter information on the very detailed study of particle filter is suitable for beginners

图像超分辨是目前国内外研究的热点，该算法主要用于光学图像的超分辨-Image super-resolution is the study of hot spots at home and abroad that the algorithm is mainly used in optical image of the super-resolution

使用图像的互信息进行自动图像配准源代码，这个程序通过归一化后的图像互信息进行图像的自动配准。中间通过旋转等进行图像对齐。-The use of images for automatic mutual information image registration source code, the procedure adopted by the normalized mutual information image after image of the automatic registration. Through the rotation between image alignment.