face

虹膜识别图象归一化处理，把环形虹膜区域归一为一个统一的矩形图象，方便下一步特征提取和匹配。(Iris recognition normalized image processing, the annular iris region normalized to a uniform rectangular images, the next step to facilitate feature extraction and matching.)

说明：  图像边缘检测，图像中值滤波和MATLAB处理(Digital Image processing based on FPGA)

索书号文字图像分割，粘连字符切分，彩色车牌分割 ，文字识别的结构特征提取子函数(Call text image segmentation, character segmentation, color plate segmentation, text recognition feature extraction Functions)

建立了混合高斯模型，可以对静止背景下运动目标进行检测。(Gaussian mixture model is established, you can still detect moving target in the background.)

实现数字图像处理的直方图均衡化，将一幅灰度图像的频谱展示处理(histogram equalization)

图像匹配经典事例。ssda和mad匹配算法。(ssda mad)

视网膜血管检测的Gabor变换和机器学习，教程 本教程将演示如何Gabor变换和广义 的线性模型（GLM）可用于视网膜血管检测 图像。 ，我们将尝试检测视网膜血管从 的训练图像，首先，Gabor滤波器与图像卷积。 GLM将使用Gabor变换的图像特征确定 （独立变量）和容器的位置 为结果（因变量）。( Retinal Vessel Detection by Gabor Transform and Machine Learning, a Tutorial This tutorial will demonstrate how Gabor transforms and generalized linear model (GLM) can be used for detection of retinal vessels in images. Specifically, we will attempt to detect the retinal vessels a training image , by first, convoluting multiple Gabor filters with the image. A GLM will be determined using the Gabor transformed images as features (the independent variables), and the locations of the vessels as the outcome (the dependent variable).)

这是一种彩色图像去雾算法，可以识别物体的轮廓，但是同时也会加强这些轮廓，虽然去雾效果不错，但是会加强轮廓！(This is a color image to fog algorithm can identify the contours of the object, but will also enhance the outlines, although to fog effect is good, but will strengthen the profile!)

说明：  任意简单多边形中轴算法，使用MATLAB实现~~别看资料，看代码(Arbitrary axis algorithm for simple polygon, the use of MATLAB data to achieve ~ ~ Do not see the code)

hough变换提取图像中圆的半径和圆心坐标(hough transform to extract the radius and center)