该函数实现的是文章New edge

二值图像形态滤波和灰度图像形态滤波操作的Matlab实现。-Binary image morphological filter and grayscale images Matlab morphological filtering operations to achieve.

用蚁群算法解决TSP问题，这是我从MATLAB中文论坛找到的。-TSP with ant colony algorithm to solve the problem, which I found from the MATLAB Chinese Forum.

实现数字水印算法，抗剪切，抗噪声，但不抗旋转。-Digital watermarking algorithm implementation, anti-shear, anti-noise, but not anti-rotation.

本程序是基于hough的圆检测，功能较为简单，但是实用性强-This procedure is based on the hough circle detection, feature relatively simple, but practical

svm matlab toolbox（SVM的MATLAB工具箱）-svm matlab toolbox (SVM in MATLAB toolbox)

一个用labview编写的基于一维最大熵的图像阈值分割方法。使用方法请看Readme.txt-use a PC to prepare a peacekeeping based on maximum entropy image thresholding methods. Look at the use Readme.txt

图像处理算法全集，包含很多经典的算法，非常实用，欢迎下载-The Complete algorithms of image processing ，Contains a lot of classical algorithms, very useful, please download！

这是一个去除噪声软件，用动态链接库封装起来，可以导入使用-This is a noise removal software package with dynamic link library, and can be imported using

将256色的彩色图像转换灰度图像，包含测试图像。-Will be 256-color color image is converted gray image, including the test images.

针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提 出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理进行描述 然后进行基于区域生长的扩张检 测,得到纹理单一图像块 最后对图像块进行整体匹配,得到纹理单一区域的稠密视差图。对国际标准图像进行测试, 结果表明该算法能提高纹理单一区域稠密视差图的精度,具有实用价值 -Due to the difficulty of getting disparity of less textured pixels with traditional approach, block matching algorithm with texture analysis was put forward. First, the images were described by LBP/C texture analysis. Then the expansion detection based on region growing was performed, and the less textured blocks were acquired. Finally the dense disparitymap of less textured area was obtained through block matching. The proposed algorithm was tested with the international standard image data and comparedwith some existing algorithms. The experimental results show that the proposed algorithm can improve the accuracy of disparitywhen handling less textured areas and can be used in practic