gongji

说明：  MICC-F220.zip matlab ..............

粒子群优化算法(的源程序，优化值，对图像分割有很大的帮助。(Particle swarm optimization (PSO) of the source.)

毕设内容，高光谱图像基本处理，光纤陀螺输出误差的allan方差分析，实现六自由度运动学逆解算法。( Complete set content, basic hyperspectral image processing, allan FOG output error variance analysis, Six degrees of freedom to achieve inverse kinematics algorithm.)

衡量图像去噪和SAR图像降斑效果的一些指标，psnr，snr，enl(enl（Equivalent number of looks）)

自己编写fft2和ifft2程序并进行快速傅里叶变换试验(fft2 and ifft2)

用于将视频文件转换成帧图像、帧图像转换为mat语言等(Converts a video file to a frame image, then converts it into a number matrix and the inverse process)

实现高斯模糊，运动模糊等的点扩展函数psf的估计，并复原(The estimation of point spread function PSF, such as Gauss blur and motion blur, is realized and restored.)

该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)

图像处理中纹理特征提取，全局特征提取，matlab(Texture feature extraction)

说明：  matlab实现人脸识别和虹膜定位 识别效果良好(Accurate eye location by MATLAB)