IPM

基于MATLAB-GUI图形界面的数字图像处理软件 本系统设计基于GUI图形界面，用matlab语言编写代码，实现功能包括图象的读取、存储、显示、直方图均衡化、阈值化、小波分解、小波重构、加噪、去噪、平滑、锐化、边缘检测、图像分割等(MATLAB-GUI graphical user interface based on digital image processing software of the system design is based on GUI graphical interface, using matlab language to write code to achieve functionality, including image reading, storage, display, histogram equalization, thresholding, wavelet decomposition, wavelet reconstruction, add noise, denoising, smoothing, sharpening, edge detection, image segmentation, etc.)

灰度共生矩阵的计算程序，包括子程序，可以用在纹理分析上，还不错(Gray-level co-occurrence matrix calculation procedures, including subroutines, can be used in texture analysis, but also good)

说明：  内含M文件 利用对数比实现，两幅多时空SAR图像变化差异图 (Logarithm figure than the implementation differences )

基于pcnn的图像融合及其相关的评价指标和融合结果(Image Fusion Based on PCNN， and Relevant uation index and the fusion results)

基于NCC（归一化互相关）的图像配准算法(NCC (normalized cross-correlation), image registration algorithm)

说明：  用matlab进行粒子滤波算法的源码，希望对大家有帮助了。(Carried out with particle filter matlab source code, and they hope to have helped everyone.)

卡尔曼滤波的一个典型实例是从一组有限的，包含噪声的，对物体位置的观察序列（可能有偏差）预测出物体的位置的坐标及速度。在很多工程应用(如雷达、计算机视觉)中都可以找到它的身影。同时，卡尔曼滤波也是控制理论以及控制系统工程中的一个重要课题。(A typical example of the Kalman filter, from a limited set, containing the noise, the position of the object observed sequence (there may be deviation) to predict the coordinates of the location and speed of the object. Its presence can be found in many engineering applications (such as radar, computer vision). Meanwhile, the Kalman filter is control theory, and control is an important topic in systems engineering.)

分水岭算法的实现，能自动对图像进行分割，任何图像都能够读取(Watershed algorithm, can automatically split the image)

说明：  实现信号的小波分解，绘制小波不同尺度下的信号分解图形，同时去除噪声，实现信号的小波重构(The realization of the wavelet decomposition of signals, mapping at different scales of wavelet signal decomposition graphics, while removing noise, the realization of the signal wavelet reconstruction)

此程序为交互多模型的滤波器设计，采用了当前统计模型，跟踪效果比较理想(This program is interacting multiple model filter design, the current statistical model, the effect of tracking is ideal)