matlab realization, neural network simulation system, the neural network would l...

对图像进行边缘检测的Visual C++源代码-right image edge detection Visual C source code

包括图像输入（打开文件、采集、捕捉图像、从剪贴板粘贴、打开扫描软件、灰度化、添加随机噪声、椒盐噪声、去噪声）、图像处理（几何变换、灰度反转、直方图均衡化、直方图统计、图像复原、边缘提取、伪彩色、二值化、图像变换）、图像输出（另存图像、打印输出、复制到剪贴板）-Including image input (open the file, capture, capture images, paste from the clipboard, open the scanning software, graying, adding random noise, Salt and pepper noise, to noise), image processing (geometric transformation, gray inversion, histogram equalization oriented, histogram statistics, image restoration, edge extraction, pseudo-color, binary, image transform), image output (save the image, print out, copy to clipboard)

OpenCv+VS2008实现harris角点检测-OpenCv+ VS2008 to achieve harris corner detection

vb做的类photoshop源码:可以打开图像文件并对其进行一些简单的处理，另外还可实现简单的画图功能。-vb do photoshop source categories : image files can be opened and its simple, but also achieve other simple drawing functions.

这是一个用于图像处理中直方图变换的程序。里边有巧妙的算法。算法是原创的。-this is a program to process the digital image .it consistes of a eloborate and orignal thinking

用matlab编写的图像复原源代码，采用维纳滤波复原技术，可对模糊和加噪的图像实现精确复原。-Prepared using matlab source code image restoration using Wiener filter restoration technology, can be vague and processors realize accurate image noise resilience.

根据网址http://www.caip.rutgers.edu/riul/research/code.html 提供的代码，对Meanshift图像分割进行了封装实现，提供了Matlab和C两种调用接口。-According to Web site http://www.caip.rutgers.edu/riul/research/code.html the code provided on the packaging Meanshift image segmentation was achieved, providing two kinds of Matlab and C Call Interface.

在VC++平台上实现图形图像的马赛克效果-In VC++ platform to achieve the effect of graphic image mosaic

数字图像处理程序源代码，功能丰富，包括图像增强，图像边缘检测与分析，几何变换，压缩编码，图像复原等-Digital image processing source code, feature-rich, including image enhancement, image edge detection and analysis, geometric transformations, compression coding, image restoration, etc.

Active contour demo implements snake, which essentially is an A* search. This can be used for image registration, segmentation, feature extraction.