Project_report

说明：  360°图像序列的柱面全景拼接算法，matlab仿真程序。(360 image sequence cylindrical panoramic mosaic algorithm, matlab simulation program.)

利用正交匹配跟踪原子库对信号进行稀疏分解程序(Sparse decomposition process)

一个选择模板的匹配方式，附带视觉标定,可以自由的选择模板进行匹配(A matching pattern of selected templates with visual calibration)

连续投影算法选出最优波段，一般是选出光谱图形的最优波段(Successive projection algorithm chooses the optimal band, typically selected spectral graph of the optimal band)

说明：  该压缩包内含有基于梯度金字塔变换的多模态图像融合方法的MATLAB代码，可以直接运行，得到融合结果。另外，压缩包内包括了多组已配准、待融合的图像示例，具体包括红外图像与可见光图像、CT与MR图像，多聚焦图像。本人还对代码进行了必要的解释。推荐下载(The compression package contains matlab code of multimodal image fusion method based on gradient pyramid transformation, which can be run directly to get fusion results. In addition, the compressed package includes several groups of images that have been registered and to be fused, including infrared images and visible images, CT and MR images, and multi focus images. I also gave the necessary explanation to the code. Recommended download.)

一些图像处理中的增强算法，一些些一些些一些些(Some of the enhanced image processing algorithms, some more some more)

图像融合中常用的评价指标（非常全面）如：平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等。(Image fusion evaluation (very comprehensive): average gradient, correlation coefficient, entropy, cross entropy, joint entropy, mean square error and mutual information, signal to noise ratio, peak signal to noise ratio, root mean square error, spacefrequency, standard deviation, mean, distorting the degree of deviation index.)

一个快速而精确的一阶稀疏图像复原算法。主要应用于图像去噪声。(A fast and accurate first-order sparse image restoration algorithm. Is mainly used in the image to the noise.)

目标运动的真实轨迹和估计轨迹，以及所进行的误差分析(Target motion trajectory and estimate the true trajectory, and error analysis conducted)

使用马尔可夫随机场进行图像分割，包括标记场、特征场建模和参数估计等，程序可运行。(image segmentation Using Markov random field , including label Field, features field modeling and parameter estimation, the program can run.)