ColorImageSegmentation

基于蚁群算法的图像边缘检测，将蚁群算法应用于边缘检测,提出了一种图像边缘检测的新方法，具有很大的创新性，最主要是可以仿真，供本研究方向的人参考( Image Edge Detection based on ant colony algorithm)

很好用的Log-Gabor变换源代码，可以用于图像的特征提取(Good use of Log-Gabor transform source code, can be used for image feature extraction)

基于活动轮廓模型的图像分割算法，具体算法细节，可以见压缩包中的论文(Based on Active Contour Model of image segmentation algorithm, the details of the specific algorithm, you can see the archive of papers)

用MATLAN实现了FLL（锁频环）的热噪声误差、动态应力误差、总的跟踪误差与带宽、预检积分时间等的关系图(MATLAN achieve FLL (frequency-locked loop) thermal noise error and dynamic stress error, the total tracking error and bandwidth, preflight integration time diagram)

说明：  本程序使用MFC编写了一个能够在同一界面上显示立体图形的三视图的源程序。(This program using MFC wrote a can in the same interface shown on the SanShiTu three-dimensional graph of the source program.)

在统计学中，皮尔逊积矩相关系数（英语：Pearson product-moment correlation coefficient，又称作 PPMCC或PCCs[1], 文章中常用r或Pearson s r表示）用于度量两个变量X和Y之间的相关（线性相关），其值介于-1与1之间。在自然科学领域中，该系数广泛用于度量两个变量之间的相关程度。它是由卡尔·皮尔逊从弗朗西斯·高尔顿在19世纪80年代提出的一个相似却又稍有不同的想法演变而来的。这个相关系数也称作“皮尔森相关系数r”。(In statistics, Pearson product-moment correlation coefficient (English: Pearson product-moment correlation coefficient, also known PPMCC or PCCs [1], the article used or Pearson s r r representation) is a measure of the two variables X and Y between correlation (linear correlation), a value between-1 and 1. In the natural sciences, the coefficient is widely used to measure the degree of correlation between the two variables. It is made a similar Karl Pearson Francis Galton in the 1880s but made a slightly different idea evolved. The correlation coefficient is also called Pearson s correlation coefficient r .)

包内提供了Contourlet和Wavelet变换进行图像增强、去噪的各种算法和.m文件，的确是好东西。(Package provides a Contourlet and Wavelet Transform for image enhancement, denoising the various algorithms and. M file, it is a good thing.)

这是一个简单的区域生长算法，方便新手学习使用。(this is a simple region growing algorithm available for new learners.)

说明：  直方图均衡，图像去雾处理，是把原始图像的灰度直方图从比较集中的某个灰度区间变成在全部灰度范围内的均匀分布。直方图均衡化就是对图像进行非线性拉伸，重新分配图像像素值，使一定灰度范围内的像素数量大致相同。(Histogram equalization, image processing to the fog, is the original image histogram to a gray scale from the more concentrated into the full range of uniform distribution within the gray area. Histogram equalization is that the image is non-linear stretch, re-distribution of the image pixel values, so that a certain number of pixels within the gray area roughly the same.)

MATLAB程序：利用DWT的图像数字水印的嵌入与提取，里面包含水印图像、原图像。(MATLAB programs: the use of DWT image watermarking embedding and extraction, which contains a watermark image, the original image.)