TI DSP DM642 procedures, image processing, median filtering algorithm

一个外国人写的图像处理方面的vb程序，涵盖了几乎所有的基本图像处理的内容，很适合初学者！-A foreigner to write image processing vb program, covering almost all the content of the basic image processing, it is suitable for beginners!

程序中包括图像处理的各种经典算法，如：二值化，均衡化，灰度切片，腐蚀膨胀，粗化细化，边缘提取等，有助于初学者掌握图像处理的VC编程方法。-Procedures include a variety of classic image processing algorithms, such as: Binarization, balanced, and gray-scale slices, corrosion expansion coarsening thinning, edge detection and so on, will help beginners master the VC image processing programming method.

一种FDCT快速算法，大家看看！还不错！-diagram of a fast algorithm, we see! Also good!

模式识别方面的参考知识，内容比较简单，但应该有用。-a reference pattern recognition knowledge, as a relatively simple, but it should be useful.

显示bmp文件，对图像做扫描，马赛克，渐显等特效操作-show bmp documents on scanning images, mosaics, such as the fading effects operation

第四章 MATLAB 图形对象操作 4.1 图形对象的属性 4.2 图形对象句柄的获取 4.2.1 对象创建时获取 4.2.2 层次关系来获取 4.2.3 当前对象的获取 4.2.4 根据对象属性值的获取 4.3 图形对象句柄的删除与判断 4.3.1 句柄的删除 4.3.2 句柄的判断 4.4 图形对象属性值的获取与设置 4.4.1 图形对象属性值的设置 4.4.2 图形对象属性值的获取 4.4.3 用户缺省值的操作 4.5 图形对象的其它操作 4.5.1 figflag 函数 4.5.2 findfigs 函数 4.5.3 copyobj 函数 4.5.4 capture 函数 4.5.5 refresh 函数 4.5.6 saveas 函数 4.5.7 hgload 函数和 hgsave 函数 4.5.8 newplot 函数 -Chapter IV of MATLAB graphic objects to operate the properties of graphic object 4.1 graphic object handle 4.2 Access 4.2.1 object created when the relationship between the level of access to 4.2.2 to get 4.2.3 to obtain the current object under the object attribute value 4.2.4 Access 4.3 graphic object with the judge handles delete delete 4.3.1 handles 4.4 judgment 4.3.2 Handle Graphics object attribute values to obtain and set the target attribute value 4.4.1 graphics settings 4.4.2 graphic object attribute values to obtain 4.4 .3 user operation 4.5 Defa

求两个多边形交集的程序，使用计算几何实现的，值得学习-intersection of polygons for the two procedures, the use of computational geometry to achieve, and worth learning

matlab 的图像处理高级命令一览表，里面详细讲解了各种命令的使用方法-matlab image processing high-level command list, which explained in detail the various commands to use

图像融合工具箱，包括线性方法，非线性方法，多分辨率方法等-The image fusion toolbox comes as a set of matlab m-file functions

利用形态学方法寻找图像中互相重叠的点 对其进行分类并最后消除。-using morphological methods for image overlapping points classification and its final elimination.