用matlab处理图像，实现各种滤波等图像增强的功能。

用于BF533处理器的Ycbcr与RGB的转换。-BF533 processor for YCbCr and RGB conversion.

用用VTK与VC++混合编程实现对人脑等值线的绘制，内含人脑数据-use with VTK and VC mixed programming of the human brain contour mapping, data containing the human brain

em算法原理，帮助你理解EM算法，EM算法是 自然语言理解中的经典重要的算法，基本上是 学习自然语言理解的基础-EM algorithm, help you to understand the thereom of EM

本程序能实现离线的数字识别，在MATLAB下运行，同时可以用其中部分代码实现图像的灰度，二值化，细化，归一化等功能，采用Bp神经网络。-This procedure can achieve the number of off-line identification, in the MATLAB run, at the same time part of the code can achieve one of the gray-scale images, binarization, thinning, and other functions normalized using Bp neural network.

RanSac算法，拟合抛物线，画出上眼皮。具体看代码就能明白。-RANSAC algorithm, fitting a parabola, painted on the eyelids. Specific code will be able to understand the look.

一种新的基于局部小波统计特性的多聚焦图像融合算法-A new wavelet based on local statistical characteristics of multi-focus image fusion algorithm

用于level set分割的matlab工具箱-For level set segmentation matlab toolbox

基于matlab的目标跟踪和识别的源代码，很不错。可以-Matlab-based target tracking and identification of the source code, is pretty good. Can

多种图像边缘检测与分割处理 是M文件 程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例――从PCB图像中删除所有电流线，仅保留芯片对象-A variety of image edge detection and segmentation is the deal with M files code Description P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line thresholding image segmentation P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: Morphological examples- from PCB image delete all current lines, retaining only the target chip

粒子滤波的五个经典例子，需要的赶紧下，对与学习部分内容很有帮助-Particle filter five classic example of the need to hurry, the right part of the contents and learning very helpful