真彩色图像将被转换为其他空间，彩色图像处理是第二…

采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是反色处理-for image processing, have been tested, the very practical, The main source of anti-Color

< matlab教程7.1>>中所有matlab源程序

通过hough变换求图像中的圆的参数（圆心坐标和半径）-Through the hough transform for image circle parameters (center coordinates and radius)

度图像进行处理的VC代码，包括放大、对比度调节-Degree images of the VC deal with code, including zoom, contrast adjustment

这用在vc++环境下进行图像处理的源代码， 二值化变换-This is used in vc++ Environment image processing source code, binary transform

Snakes MatLab code, it can be used according to the statment inside!

本程序利用相关度量与仿射变换来跟踪目标 通过通过相似性度量在上帧目标周围区域搜索目标得到目标 5帧以上时 用仿射变换来更新目标模板 从而解决目标跟踪中目标发生形变 -This procedure make use of relevant metrics and affine transformation to track the target through the adoption of similarity measure in the last frame target search the surrounding region has been the target for more than five affine transformation used to update the target template in order to address the target tracking target deformation occurred

分而治之方法还可以用于实现另一种完全不同的排序方法，这种排序法称为快速排序（quick sort）。在这种方法中， n 个元素被分成三段（组）：左段l e f t，右段r i g h t和中段m i d d l e。中段仅包含一个元素。左段中各元素都小于等于中段元素，右段中各元素都大于等于中段元素。因此l e f t和r i g h t中的元素可以独立排序，并且不必对l e f t和r i g h t的排序结果进行合并。m i d d l e中的元素被称为支点( p i v o t )。图1 4 - 9中给出了快速排序的伪代码,,Delphi 赫夫曼编码.rar.rar - 用delhi做的程序实现了哈夫曼编码，做的还不错。,,Delphi -divide and rule method can be used to achieve an entirely different sort of way This sorting called Quick Sort (quick sort). In this approach, n elements is divided into three (group) : Left of the l e f t, Right of g h i r t and middle m i d e d l. Middle contains only one element. Left of the elements are less than equal to the middle element of the right elements are larger than the middle element. So l and f t e r t h i g of elemental independent sort, and no need to l and f t e r t h i g ranking results merger. M i d e d l The element known as Fulcrum (p i v o t). Figure 1 4-9 is given a quick sort of pseudo-code. Delphi Hefuman coding. rar.rar- delhi do wi

彩色图像做差运算，并分RGB 以及亮度进行直方图统计，计算得到二阶导数为零的点，完全自主创作，效果理想-color image so poor operation and the hours for RGB and luminance histogram statistics, calculated second-order derivative of the zero point, entirely independent creation, the result is satisfactory

本例主要是采用opencv进行的细胞个数的识别，效果较好-Opencv in this case is mainly used for the identification number of cells, the effect well