tiduxiajiang

里面有注释，还有sift和surf的比较(There are notes, there are more sift and surf the)

遗传算法/大津法/区域生长法/迭代法分割图像,有详细注释，适合学习(Genetic algorithm/dajin method/area growth method/iteration method image segmentation, and have the detailed notes, suitable for learning )

基于熵率的超像素分割，图像处理，图像分割技术(superpixel segmentation based on entropy rate, image processing, image segmentation technology)

本算法应用hough变换对车道进行直线检测，对于系统拍摄到的路面进行车道检测。(Application of this algorithm hough transform for line detection of the lane, shooting for the system to carry out road-lane detection.)

针对FCM算法的运行时间长和计算量大的问题，提出了改进的FCM算法，先将图像分割成窗口大小的子块，然后以子块为单位提取特征向量，用FCM聚类粗分割，然后对边缘子块，以像素为单位从新提取特征向量，进行细分割。分割后的结果提高了运行速度和分割精度。(For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into blocks the size of the window, and then sub-block feature vector extraction unit, using FCM clustering coarse partition, and then block on the edge, in pixels from the new Feature Extraction, for fine segmentation. Improve the segmentation results after the speed and accuracy of segmentation.)

一种基于模糊集增强的图像处理算法，可以降噪和锐化图像(Fuzzy set enhanced image processing algorithm, noise reduction and can sharpen the image)

说明：  用OSTU和KSW实现多阈值图像分割，matlab代码(Image Segmentation Using OSTU and KSW)

我自己写的用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，有部分是在国外网上淘的(I wrote it myself using hilbert curve scanned image after image retrieval code, which has many useful code, some of the Amoy abroad online)

边沿检测与提取，轮廓跟踪的图象算法 用VC++实现，下载可以正常运行(Edge detection and extraction, contour tracing algorithm using image VC++ Realization can download the normal operation of)

水平集(level set)的基本思想是将界面看成高一维空间中某一函数ψ（称为水平集函数）的零水平集，同时界面的演化也扩充到高一维的空间中。我们将水平集函数按照它所满足的发展方程进行演化或迭代，由于水平集函数不断进行演化，所以对应的零水平集也在不断变化，当水平集演化趋于平稳时，演化停止，得到界面形状。(The level set (level set) the basic idea is to interface as a higher dimensional space in a function (called a level set function) of the zero level set, and the interface evolution also extended to higher dimensional space. We evolve or iterate the level set function according to the evolution equation it satisfies. Because the level set function keeps evolving, so the corresponding zero level set is also changing. When the level set evolves to a stable state, the evolution stops, and the interface shape is obtained.)