tuxiangyuchuli

matlab 归一化相关系数，可用于模板匹配(matlab normalized correlation coefficient)

某个平面内的一系列点的密度分布，通过求出x和y方向的点的概率，最后用矩形框画出密度大的区域。4000个数据，详解，效果不错，直接能运行。(The density distribution of a series of points in the plane, determined by the probability of the point x and y directions, the final draw-density region with a large rectangular box. 4000 data, explain, good results can be directly run.)

在matlab环境下对图像进行处理，运用霍夫变换方法得到图像分割的阈值，并进行圆形的检测(In the matlab environment for image processing, using Hough transform method for image segmentation threshold and for the detection of circular)

image compression using dwt and dct

very useful toolbox for the matlab user

多类图像特征结合上下文信息进行目标识别（分类、分割）(Many types of image features combined with context information for target identification (classification, segmentation))

说明：  矩阵填充经典算法的代码，包含SET，SVT等(Matrix filling code of classical algorithm, including set, SVT, etc)

说明：  基于sift特征提取的图像配准的几个案例(Several cases of image registration based on SIFT feature extraction)

局部熵差图象匹配并行算法的分析和 功能以及和其他算法的比较(err)

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).)