FCM approach to image segmentation of the source, seek to help

Render .NET is an 3D Photorealistic Rendering Library - REYES(RenderMan),Ray / Photon Tracing Architecture - Complex Models such Quadrics / Patches / Mesh... - Primitive / Displacement(True) / Surface / LightSource / Volume/Imager Shaders - Sampling / Filtering / Motion / DepthOfField / GlobalI... -Render .NET is an 3D Photorealistic Rendering Library- REYES(RenderMan),Ray/Photon Tracing Architecture- Complex Models such Quadrics/Patches/Mesh...- Primitive/Displacement(True)/Surface/LightSource/Volume/Imager Shaders- Sampling/Filtering/Motion/DepthOfField/GlobalI...

描述了Bezier曲线的算法与程序实现 -Bezier curve describes the algorithm and procedures realize

本程序是Pedro F. Felzenszwalb 等人在著名的《Object Detection with Discriminatively Trained Part-Based Models》中所使用的算法，能够较好地处理基于分割图像的物体检测功能。

ANN最近邻域算法库，图像处理和图形处理里面用得比较多-ANN domain nearest neighbor algorithm library, image processing and graphics inside the handle with more than

vc的进行虹膜识别的源代码，比较简单，大家可以研究一下！-Code for iris recognition

NVIDIA Direct3D透明反锯齿演示C++源代码，需要Geforce7系列以上显卡。-NVIDIA Direct3D transparent antialiasing demo C source code, Geforce7 series needs more graphics.

高斯MRF随机场特征，包含均值，方差，采用最小二乘计算的，很简单-Gaussian MRF， include means and standard derivation, is very simple and effective

应risking的要求上载的imageload.dll文件和使用imageload.dll的例子imageview程序- Should the risking request upload the imageload.dll document and uses imageload.dll the example imageview procedure

数字识别代码 第一步：训练网络。使用训练样本进行训练。（此程序中也可以不训练，因为笔者已经将训练好的网络参数保存起来了，读者使用时可以直接识别）第二步：识别。 首先，打开图像（256色） 再次，进行归一化处理。点击“一次性处理” 最后，点击“R”或者使用菜单找到相应项来进行识别识别的结果显示在屏幕上，同时也输出到文件result.txt中 该系统的识别率一般为90％ 另外，也可以单独对打开的图片一步一步进行图像预处理工作。但要注意，每一步工作只能执行一遍，而且要按顺序执行。步骤为：“256色位图转为灰度图”“灰度图二值化”“去噪”“倾斜校正”“分割”“标准化尺寸”“紧缩重排” 另外注意，要识别的图片，要与win.dat、whi.dat位于同一目录。此两文件保存训练后网络的权值参数 -digital identification code first step : training network. Use of training samples for training. (These procedures also can not training because I have trained network parameters saved, Readers can direct identification) second step : identification. First, open the Image (256 colors) again, to a treatment. Click on the "one-stop" Finally, Click on the "R" or use the menu item corresponding to find the identification of the identification results on the screen, also result.txt output to a file which the system"s recognition rate of 90% for the other, can be individually opened to the step-by-step pictures for image prep