LMI

说明：  Ostu分割方法实现 根据原理编写Ostu程序，对cameraman灰度图片进行分割；并对获得的前景与背景，分别再进行一次分割；(Implementation of Ostu segmentation method According to the principle, the Ostu program is compiled to segment the gray image of cameraman, and the foreground and background are segmented again;)

由遥感图像的日数据生成旬数据，一是输出旬数据总和，二是输出旬数据平均值(From the date of remote sensing image data generated late data, the sum of ten days one output data, the second is the average of the output data late)

基于粒子群算法的（pso）的otsu图像分割算法。(Based on Particle Swarm (pso) image segmentation algorithm of Otsu.)

遥感信息工程学院遥感原理与应用课程实习监督分类(Supervised of Remote Sensing Principle and Application Course Practice)

基于分数阶微分的图像增强技术，代码可以根据图像的梯度信息，更好地增强图像的高频部分，非线性地保留低频部分。(Fractional differential enhancement technology-based image code according to the gradient information of the image can better enhance the high frequency part of the image, to retain the low-frequency part of the non-linear.)

高通高斯滤波，LBP，LDP的matlab源代码，用于图像的增强，特征提取。(High-pass Gaussian filter, LBP, LDP matlab source code for image enhancement, feature extraction.)

一般自然图像的梯度分布符合重尾分布，重尾分布也就是超拉普拉斯分布，根据这个特点进行图像复原。(The gradient of a natural image in line with heavy-tailed distribution, which is ultra-heavy-tailed distribution Laplace distribution, image restoration based on this feature.)

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SL0算法，对256*256的lena图处理，比较原图和SL0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 SL0 algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using SL0 algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

可用于视频目标检测中背景生成的混合高斯模型(Can be used for video object detection in the context of generating a mixture of Gaussian model)

应用MATLAB小波工具箱中的一维小波包分析函数,采用默认阈值、调节后的阈值两种方法对含噪声的信号进行处理,并以一可见吸收光谱降噪为例,说明该方法在信号降噪中有效可行. (Application of MATLAB wavelet toolbox one dimensional wavelet packet analysis function, using the default threshold value, the adjusted threshold value of two kinds of methods including noise signal processing, and with a visible absorption spectrum noise reduction as an example to show the method is effective in signal noise reduction is feasible. )