The VC process things used to realize digital image of the jitter, the use of BA...

“冈萨雷斯”《数字图像处理》相关处理代码 VC++ 源代码，对学习数字图象处理很有用，方便修改。-"Gonzalez", "Digital Image Processing" correlation VC source code, learning Digital image processing is used to facilitate change.

这是一个比较另类的图像库，它本身并不提供对图像对象的封装，只以类似插件的形式为您提供图像处理算法的封装和进度显示，而图像对象的封装则需由用户来提供。 本图像库平台无关，理论上它可以应用于任何已有的C++图像类上。 -This is a rather different type of image library, it does not provide the image object package, only the form of a similar plug-ins for your image processing algorithms to provide packaging and progress display, and image package should be targeted by user to provide. The image database platform-independent, in theory, it can be applied to any existing C++ Image category.

Visual c++ MATLAB图像处理与识别 书盘源码上传0000000004－－第4章-Visual c MATLAB image processing and recognition site source book Upload 0000000004-- Chapter 4

图像增强处理 图像增强处理-Deal with image enhancement image enhancement image enhancement treatment treatment

这是一份VC开发环境下的“数字图像处理”一书的配套源代码。对搞VC数字图像处理的朋友应该很有帮助。-VC This is a development environment under the "Digital Image Processing," a book supporting source code. To engage in digital image processing VC friends should be helpful.

A hybrid Particle Swarm Optimization algorithm for finding the minimum of the function fitness in the real space.-Particle Swarm Optimization algo abbreviation for finding the minimum of the function fi tness in the real space.

用水平集和形态学结合的方法分割图像，主要用于对比度低的医学图像，效果较好-Using level set and morphological segmentation with the method of combining images, mainly for low-contrast medical images, better

SIFT算法C语言原程序,有需要的可以下载了,好东西哦!-sciences algorithm C language program, the need to be downloaded, the good stuff!

图像分割 模糊聚类分割算法 通过MATLAB实现的C聚类分割算法，输入分割类别数。可以得到分割后的图像对比-Image segmentation algorithm based on fuzzy clustering partition

This code implements the well-known Chan-Vese segmentation algorithm from the paper "Active Contours Without Edges." This technique deforms an initial curve so that it separates foreground from background based on the means of the two regions. The technique is very robust to initialization and gives very nice results when there is a difference between the foreground and background means. This code uses active contours and level sets in the implementation. It could also serve as a good framework for implementing all kinds of region-based active contour energies. 1.) Download 2.) Unzip 3.) Run >>region_seg_demo See this site for experiments, videos, and more information on segmentation, active contours, and level sets: [ http://www.shawnlankton.com/2007/05/active-contours/ ]