laplacian

（1）计算图像中每个像素点的LBP模式(等价模式,或者旋转不变+等价模式)。 （2）然后计算每个cell的LBP特征值直方图，然后对该直方图进行归一化处理(每个cell中，对于每个bin,h[i]/=sum,sum就是一副图像中所有等价类的个数)。 （3）最后将得到的每个cell的统计直方图进行连接成为一个特征向量，也就是整幅图的LBP纹理特征向量； 然后便可利用SVM或者其他机器学习算法进行分类识别了。((1) calculate the LBP pattern of each pixel in the image (equivalent mode, or rotation invariant + equivalent mode). (2) then the LBP eigenvalue histogram of each cell is calculated, and then the histogram is normalized (for each cell, for each bin, h[i]/=sum, sum is the number of all the equivalent classes in a pair of images). (3) finally, the statistical histogram of each cell is connected into a feature vector, that is, the LBP texture feature vector of the whole picture. Then, SVM or other machine learning algorithms can be used for classification and recognition.)

噪声环境下的信号检测算法及matlab算法，高斯环境下，门限检测(Signal detection algorithm in noisy environments and matlab algorithm, Gaussian environment, the threshold detector)

图像配准,基于sift的图像配准程序，配准效果良好，运行速度快。(image match)

根据CT成像原理得到Sinogram图像，再经过Randon变换以及反向投影算法对物体图线进行复原。(It is a Matlab ToolBox which can solve CT problems or image reconstruction easily and convincely.)

检测前跟踪，使用phd方法，phd实现是检测前跟踪是最新技术，可以提高跟踪性能(Detected before tracking method using phd, phd implementation is detected before tracking is the latest technology that can improve the tracking performance)

何凯明暗通道去雾算法Matlab版本,个人实测并已经加上注释(He s Dark channel fog removal)

边缘检测 的 matlab粒子群程序序源码 ，希望对你有所帮助 (Edge detection matlab particle swarm procedure sequence source, you want to help)

混合高斯模型提取视频帧前景背景图像，经试验验证准确率比较高(Mixed gaussian model to extract video frame prospects background image)

MATLAB程序附图像,利用灰度AGV对路径进行识别,,(MATLAB image attached, using gray AGV right path for identification,,)

故障分为很多种，该程序是利用小波包把故障特征提取出来，用于判断接下来出现的情况是把一种故障(The fault is divided into many, the program is using wavelet packet to extract the fault features out, used to judge the next case to a fault)