hashingToolbox0_1beta

用matlab编写的harris角点检测与匹配程序，适用于matlab图像处理与编程(Matlab prepared with harris corner detection and matching procedures, applicable to matlab image processing and programming)

gabor filter and gabor wavelet is used for segmentation of retinal blood vessel segmentation

背景建模和前景分割的方式把运动车辆提取出来。并进行最近临关联，输出目标轨迹。 MeanShift运动目标跟踪 matlab程序 1.截取跟踪目标矩阵rect 2.求取跟踪目标的加权直方图hist1 3.读取视频序列中的一帧， 先随机取一块与rect等大的矩形，计算加权直方图hist2。 4.计算两者比重函数，如果后者差距过大， 更新新的矩阵中心Y，进行迭代（MeanShift是一种变步长可以迅速接近概率密度峰值的方法），直至一定条件后停止。 这两种算法为处理图像跟踪的基本方法 (Background modeling and foreground segmentation the extracted moving vehicles. Pro associated output and the target locus. Target tracking matlab program MeanShift movement. Interception tracking the target matrix rect strike a tracking target weighted histogram hist1 3. Reads a video sequence, randomly take a with the rect large rectangular, calculate the weighted histogram hist2. 4. Calculate both the proportion of function, if the latter gap is too large to update the new center of the matrix Y conducted the iteration (MeanShift is a variable step size can be rapidly approaching the peak of the probability density) until certain conditions to stop. The basic method of these two algorithms for processing the image tracking)

本人自编的气球SNAKE模型代码，效果还算不错。(I own balloons SNAKE model code, the effect is still good.)

利用四参数随机生成法生成三维多孔介质，以研究黏土、页岩等的微观流动机制(Using QSGS to construct 3D porous media)

自己编写图像旋转； （1）可以任意设定旋转中心； （2）旋转通过坐标矩阵和旋转矩阵一步到位，得出旋转之后的对于坐标矩阵；（myrotate和myrotate1功能一样，后者只是在前者基础上，将旋转矩阵和平移矩阵集成到一起了）； （3）自带构造测试矩阵，可以直接运行；(rotate img by myself all center )

小波变换去噪和轮廓波变换去噪，两种方法比较，通过psnr来评价(wavelet and contourlet，image denoise)

通信专业滤波算法中通过改变不同的观测角计算接受信号的信噪比。(Communications professional filtering algorithm by changing the different observation angle calculation to accept the signal-to-noise ratio.)

动目标检测，包括动目标检测理论，动目标检测器，目标检测公式(Moving target detection, including moving target detection theory, moving object detection, object detection formula)

图像读取与显示，图像二值化，边缘检测，边缘追踪(Read and display image, image binarization, edge detection, edge tracking)