VQ

说明：  根据Itti视觉注意模型得到图像的显著区域。本算法简单并且对一般简单的图像能够提取出比较好的显著区域。(According to Itti visual attention model are significant regions in the image. The algorithm is simple and easy on the general good image to extract a significant area.)

matlab编写的纹理图像分割 gussian滤波后k-means聚类 并将不同区域用线条表示出来 除m程序还包括测试图片、pdf文件、ppt文件、doc文档(matlab prepared texture image segmentation gussian filtered k-means clustering in different regions and lines that come out with the exception of m program also includes test pictures, pdf file, ppt file, doc file)

本程序基于近景摄影测量，单片空间后方交会算法完成，用C++代码编写，内含有样本数据，以供试验。运行正常，注释完整。(This procedure based on the close shot photogrammetry, monolithic space resection algorithm, contains sample data, and written in c++ code for test. Running normally, notes complete.)

基于全变分的图像复原方法程序，还有全变分的理论课件，可以进行实验的！(Image restoration method based on the variational procedure, and the variational theory of courseware, can carry out the experiment.)

第二代离散曲波变换的源程序，包括图像处理中的应用(Second-generation discrete curvelet transform of the source, including the application of image processing)

根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)

说明：  人眼定位的matlab代码，使用模板匹配的方法实现(Eye location matlab code, using the template matching method)

Retinex算法，用于图像增强。 包括全局域retinex 局部域SSR、MSR、MSRCR(Retinex algorithm for image enhancement. Including full local retinex local domain SSR, MSR, MSRCR)

形态学pathopenings的实现，对线特征提取等图像处理有令人惊奇的效果。(Morphological pathopenings the realization of the line feature extraction and other image processing have surprising effects.)

7主动轮廓模型的一种初始轮廓设定方法.PDF(An initial outline of seven active contour model setting method)