新的大津法 新的大津法 新的大津法

一个基于C++的图像处理算法，包括帧差分法、背景法和meanshift跟踪。-One based on C++, image processing algorithms, including the frame difference method, the background law and meanshift track.

霍夫变换，基于视网膜图片的霍夫变换，C++Builder环境下运行-Hough transform, Hough transform-based retinal image, C++ Builder environment running

c++图行图像处理，图像的直方图均衡化。-c++ map line image processing, image histogram equalization.

基于VB的图象处理的一个小的应用程序，很好用的-VB-based image processing of a small application, a very good use

基于DirectShow编写的一个视频图像采集与硬盘录像的程序，以类的形式，主要优点是便于代码复用。-based on DirectShow prepared a video disk video acquisition and procedures, in the form of class, the main advantage is easy code reuse.

一种基于相位的光流计算方法，该方法不同于以往基于微分的计算方法，而是采用空间滤波器，取得非常好的效果。该结果发表于IEEE Trans. Neural Networks,13(5), 1127--1136. -Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering, IEEE Trans. Neural Networks, 13(5), 1127--1136.

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

此程序通过遗传算法(ga )实现灰度图像的分割,遗传算法的计算过程首先是将实际的优化问题编码成符合串,-This procedure through the genetic algorithm (ga) realize grayscale image segmentation, genetic algorithm calculation process is to first of all, the actual coding optimization problem into line with the string,

纹理寻址 -Addressable addressable texture texture

30个图像处理的VC++ 源代码，包括256色转灰度图,Hough变换,image_j1,PCA,Walsh变换,对比度拉伸,二值化变换,反色, 方块编码,傅立叶变换,高斯平滑,灰度均衡,均值滤波,拉普拉斯锐化（边缘检测）, 离散余弦变换,亮度增减,逆滤波处理,取对数,取指数,梯度锐化,图象处理,图像镜像, 图像平移,图像缩放,图像细化,图像旋转,维纳滤波处理,用Canny算子提取边缘,阈值变换,直方图均衡.-30 image processing VC++ Source code, including 256 colors to grayscale, Hough transform, image_j1, PCA, Walsh transform, contrast stretching, binarization transformation, anti-color, box encoding, Fourier Transform , Gaussian smoothing, gray balance, mean filter, Laplacian sharpening (edge detection), discrete cosine transform, the brightness increases and decreases in inverse filtering deal, check on the number of check index, the gradient sharpening, image processing, mirror image, image translation, image scaling, image thinning, image rotation, Wiener filtering treatment using Canny edge extraction operator, threshold transform, histogram equalization.