matlab

给出了偏微分方程的径向基函数配点法的数值解法，进行了数值模拟，并且给出了图形(The numerical solution of the radial basis function with partial differential equation method, numerical simulation, and gives the graphic )

说明：  求取图像信噪比 均方差 峰值信噪比 逼真度等的matlab 程序函数(Average Absolute Difference，Signal to Noise Ratio (dB)，Peak Signal to Noise Ratio (dB)，Image Fidelity，Mean Square Error，The difference between restoredimg entroy and originalimg，entroy)

1.图像尺度转换，降低图像分辨率，采用局部平均法、中值法；2.图像质量评价：均值、标准差、信息熵、平均梯度(1.Image scaling, reducing image resolution, using a local average、median method；2.Image quality assessment: the mean, standard deviation, entropy, average gradient )

【实例简介】

很好用的图像分割方法，大家可以试一下，我运行过了(Very good segmentation method, very useful, you can have a try, I used the effect is very good)

基于样本的纹理合成，采取点替换的方法，可以合成brodatz类的纹理。采取的方法是先对图像分析，然后合成。(Texture synthesis based on samples taken at the replacement of the method of texture synthesis brodatz category. Approach taken is to firstly image analysis, and then synthesis.)

针对粒子概率假设密度(PH D)滤波算法在虚警、漏检情况下，b标状态估计不稳定和b标可观测性车弱的问题，提出了一种基于序贯融合的粒子PH D滤波方法，利用雷达和红外传感器多目标进行融合跟踪杏基本思想是先对红外传感器进行粒子PH D滤波，丙将红外传感器滤波结果作为雷达的预测值，然后利用P达观测的数据进行更新，这样通过雷达和红外传感器交替上作保证目标状态的可观测性，从滤波器输出结身即可得到目标的状态信息仿真结果表明，在虚警、漏检和密集目标环境下，该方法是有效的和稳健的(The problem of target state estimation instability and observability weakerin the presence offalse alarms and missed detection was deal with. On the basis of sequential fusion, a particleprobabil- ity hypothesis density(PHD) filter for multrsensor multrtarget tracking was proposed. Observed da to collected from the infrared sensor was estimated with the particle PHD filter. Then the results from the filter were set as the radar predicted value by the radar observations. The multrtarget state can be updated to guarantee observing the target state. In this way, the global state is updated at the fusion center. Simulation results show that the proposed algorithm is effective and robust under the false warning, omission and concentrated target environment. )

本代码可以实现统计彩色图像RGB三个通道内的交流分量，通过对比确定，图像是否经过高斯模糊篡改。(This code can realize statistical color image RGB three channels in the ac component, by comparing the sure, whether image through gaussian blur manipulation.)

对特征值进行非极大值抑制的角点检测，并且选用了合适的阈值加强检测效果(corner detection by non-maxima suppression of Eigenvalues and selected the appropriate threshold to enhance detection)

数字水印参考代码，分别用checksum，lsb，patchwork等方式嵌入水印，并且附带计算信噪比和消除水印的代码(Digital watermark reference code checksum lsb in patchwork way embedded watermark and accompanying calculated signal-to-noise ratio and eliminate the watermark code)