图片（信息熵、对比度、平均亮度、清晰度）

1 完成图象处理的基本功能2：二值化、边缘检测、滤波。 2 熟悉dc的部分常用功能，学习图标控制弹出框。(a complete image processing of the two basic functions : values, edge detection, filtering. 2 familiar with the dc part of the commonly used function, learning to control pop icon frame.)

国外网站上找到的一个图像拼接程序，将三张图片拼接为一张。 大致方法为Haaris找角点，粗匹配，RANSAC精匹配。 有详细的注释，附带一篇代码说明文档，非常适合初学者学习研究(Foreign web sites to find a image stitching procedure, three picture mosaic as one. Roughly method for Haaris to find a corner, coarse matching, the RANSAC precise matching. Detailed notes, with a code documentation, very suitable for beginners to learn)

说明：  有数字1和2的图片各四十张，利用mat lab读取图片并将其二值化，得到只由0和1表示的矩阵，根据数字的不同特征，选择两个特征值，用来对分类器进行训练，最后用剩下的5个1和5个2来进行测试，看分类器是否可以正确的对数据进行分类。(Figures 1 and 2 pictures of the 40, using mat lab picture and secondly, the value of reading, and received only by 0 and 1, said matrix, according to the number of different features, select the two characteristic values, used to classifier training, and finally with the remaining 5 1 and 5 2 to carry out tests to see whether the classifier can correctly classify the data.)

简单的bmp图象处理程序，将一个bmp文件中的直线和园改变颜色(Bmp simple image processing procedures, will be a bmp file in a straight line and Park change color)

过分割后区域合并代码。思想是在多尺度下，基于区域的色彩，纹理，形状信息的合并方法。(After the merger of over-segmentation region code. Thinking is in a multi-scale, region-based color, texture, shape information of the combined method.)

几种全参考图像质量评价标准，例如VIF、IFC、VSNR、PSNR、MSE等。(Several full reference image quality assessment standard, such as 2 VIF is based, the IFC, VSNR, PSNR, MSE and so on. )

九点标定halcon 代码，纯halcon代码未转换成其他语言(Marking machine image recognition Halcon code)

图片极坐标转换,可实现极坐标转换，以及求傅里叶变换(Picture polar coordinate conversion, convert polar coordinates can be realized, as well as seeking the Fourier transform)

最新图像轮廓透明度计算算法。 发表在今年的计算机视觉会议(latest image contours transparency calculation algorithm. Published in this year's Computer Vision Conference)

说明：  level set方法中的经典模型cv模型的matlab的源程序 (level set method of classical model cv model of the source Matlab)