该压缩包里包括了一幅图像的位平面解，即一幅灰度图像可以分成八个位平面。利用它可以转化到彩取色图像中去，很有用处的。...

图像分割包含并行边界、并行区域、串行边界、串行区域分割-Parallel image segmentation includes the border, parallel region, a serial boundary, serial region segmentation

用OpenCV进行图像处理与工程开发的一个入门示例程序――Hough变换，效果不错-using OpenCV for image processing and development of a project portal sample program-- Hough Transform good results!

图像格式转换的C源码，将rgb格式转变成yuv格式-Image of the C source code format conversion to rgb format into yuv format

LSB算法实现,delphi 编写，-LSB algorithm, delphi prepared

专门为MIKE 21定制的提取dxf文件数据点的程序.能够提取AutoCAD dxf文件中的:1.点高程2.Text中的数据3.线（包括Line,Polyline）中的高程数据，三种模式： 1)直接提取直线端点高程2)在直线上进行数据点的加密，然后输出3)输出为模型的水陆边界 -dedicated to the extraction of 21 customized data points dxf document procedures. To extract AutoCAD14 D dxf document : 1. 2.Text point elevation data of three. (including Line, Polyline), the elevation data, three models : 1) direct extraction of straight endpoint Elevation 2) on the line for the encryption of data points, then output 3) output model of the land and sea borders

对图像分割进行研究,是图像处理的一个重要问题。Level Set 方法是一处描述曲线以曲率相 关的速度演化的有力工具。本文研究了水平集曲线的演化方法,对水平集方法的原理进行了比较详细的阐 述,并将其应用于图分割。-　The study of image segmentation is an important problemfor image processing ,Level set methodis an effective tool for describing the curve with curvature2related speed evolvement . this paper studies the method of evolvement for the level set curve and expatiates on the principle of the level set method in detail . In this paper ,the level set method is applied in segmentation of image.

最大熵阈值分割法源程序 比较老的一个分割算法. 可以提供进行比较. 还是有些用的-maximum entropy threshold segmentation source veteran a segmentation algorithm. To provide a comparison. Or some of

c＃siftsrccode c＃sift算法源代码-siftsrccode c c## sift algorithm source code

一种基于图像颜色直方图的颜色检索方法，编程实现图形用户接口GUI。-A color histogram-based color image retrieval method, graphical user interface programming GUI.

（1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 -(1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.