matlab_smooth

通过websocket接收h264裸流后，在web端解析播放(After receiving the bare stream of h264 through websocket, it is parsed and played on the web side)

对较真实的运动模糊图像进行恢复，此种运动模糊图像限于水平或垂直的运动模糊图像。 参考文献：Removing Camera Shake from a Single Image ,siggraph06(On the more realistic motion-blurred image restoration, such motion-blurred images limited to horizontal or vertical motion-blurred images. References: Removing Camera Shake from a Single Image, siggraph06)

说明：  使用了色调映射算法，调整图片的灰度，更好表达原图里的信息与特征。(The hue mapping algorithm is used to adjust the gray level of the image and better express the information and features in the original image.)

hausdorff距离的一种改进算法，是我自己编写的，用于提取焦点之后的图像配准(hausdorff distance of an improved algorithm, which I have written for the extraction of the focus after the image registration)

说明：  用matlab写的t-snake的算法用于处理比较简单的情况有一定参考价值(using Matlab write t-snake algorithm for handling simple reference of a certain value)

说明：   图形学编程，界面很漂亮，转载(graphics programming interface is very beautiful, reprinted)

根据指定字符分割字符串，VC++精选编程源码，很好的参考。(According to the specified character segmentation character string, VC++ select programming source code, a good reference.)

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).)

多分辨率灰度和旋转不变纹理分类与定位二进制模式(multiresolution gray scale and rotation invariant texture classification with location binary patterns )

log Gabor小波图像纹理特征分析我小改過(log Gabor wavelet texture features of image I have little turn over)