kalmanXYZT.m

基于区域的空间域图像融合。先对源图像作小波分解，低频分量加权平均，高频分量用模糊C均值聚类算法进行区域分割，对区域进行基于ssim值的融合，最后小波逆变换得到融合图像。(region based spatial domain method.First do the source image wavelet decomposition low frequency components weighted average of the high frequency component using Fuzzy C-means clustering algorithm region segmentation of regional integration based ssim value, and finally fused image inverse wavelet transform)

This matlab code is used to encode and decode digital still images into Jpeg2000 format

实现两幅bmp图像相减得到最终图像并显示(Realize two BMP image subtraction, get the final image and display)

该程序利用MATLAB语言计算本质矩阵和基本矩阵，其中有用到ransac八点算法(The program utilizes the MATLAB language, the nature of the matrix and the fundamental matrix, which is useful to ransac eight algorithms)

带高斯白噪声的Kalman滤波Matlab代码，每一步都有详细的注释，和kalman滤波的五个公式对应。并有高斯白噪声的产生函数，function G = CreateGauss(E,D,M,N) 产生均值为E,方差为D,MxN的高斯白噪声矩阵(The Matlab code of Kalman filter with Gaussian white noise.)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SP算法，对256*256的lena图处理，比较原图和SP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间(Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and SP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using SP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

说明：  一个基于matlab的改进的灰度图像分水岭分割算法，该算法改进了普通的分水岭算法的过分割等问题，经过一系列处理可是分割结果更加准确。(Matlab based on gray-scale image of the improved watershed segmentation algorithm to improve the ordinary over-segmentation of watershed algorithm and so on, but after a series dealing with a more accurate segmentation results.)

1.从图像中识别几何形状的基本方法；基本原理是在于利用点与线的对偶性，将原始图像空间给定的曲线通过曲线表达形式变为参数空间的一个点，这样就把原始图像中给定的检测问题转化为寻找参数空间的峰值问题。 2.基于Gabor变换的人眼检测MATLAB实现。 3.基于Radon的车牌矫正方法。 4.基于模型函数headata产生不同大小的头模型数据。 5.基于函数wdcbm2()设置图像分层阈值压缩参数，实现图像压缩(The basic method of identifying geometry from the image; the basic principle is to use point and line duality, the original image space curve given expression through the curve into a parameter space of a point, so the peak detection problem is given in the original image is transformed into searching the parameter space.)

说明：  傅里叶分解计算基波有效值相位角和各次谐波的有效值和相位角(Fourier decomposition of computing fundamental RMS phase angle and harmonic RMS and phase angle)

彩色位图转黑白位图代码。何东健《数字图像处理》随书光盘提供的源码。(color bitmap to black-and-white bitmap code. Dong- Jian "Digital Image Processing" With the CD source.)