gaotonglvbo

说明：  一个双目匹配求解视差图的matlab源代码(A binocular matching to solve the disparity map of Matlab source code)

CVPR2007，论文“Saliency detection: A spectral residual approach”的源码(a code for "Saliency detection: A spectral residual approach,"CVPR,2007.)

说明：  本程序功能为图像平滑的实现，平滑方法包括中值滤波、均值滤波和高斯滤波算法。可直接下载运行。(The program features for the realization of image smoothing。 The smoothing methods include median filtering, average filtering and Gaussian filtering algorithm. This program can be run directly after downloading.)

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。目前最有效的算法是ALM（Augmented Lagrange Multiplier）。ALM分为Exact ALM和Inexact ALM。 该代码是Inexact ALM，收敛速度比Exact ALM快！(RPCA (Robust Principal Component Analysis) is used for matrix filling, image denoising. It is currently the most effective optimization method. Currently the most effective method is ALM (Augmented Lagrange Multiplier). There re 2 kinds of ALM: Exact ALM and Inexact ALM. The code is Inexact ALM, faster convergence speed than the Exact ALM!)

对图像进行高斯滤波后再提取边缘 对图像进行金字塔各层图像进行sobel提取边缘。 内附有原图，处理后的效果图及程序结果说明。(Gaussian filter and the image edge extraction layers of the image pyramid image sobel edge extraction. Enclosed is the original deal with the effects of plans and procedures after the results show.)

伽马变换，直方图均衡化，直方图修正方案123，自适应全局直方图均衡局部锐化，中值滤波(Gamma transform, histogram equalization, histogram modification scheme 123, adaptive global histogram equalization local sharpen the median filter)

说明：  对水下模糊的图像用偏振的物理方法实现去雾的matlab代码，附水下图片(The physical method of polarization is used to realize the matlab code of fog removal for the underwater blurred image, and the underwater image is attached.)

k均值聚类，聚为2类，结果显示散点图，红色十字表示聚类中心(K-means clustering, the class number is 2, and the results showed that the clustering center)

用于图像的纹理分割，适合用于图像的纹理分割和图像特征分类，并且是基于MATLAB实现的纹理特征分割。(For image texture segmentation, texture suitable for image segmentation and image feature classification, and is based on the MATLAB implementation of the texture features segmentation.)

说明：  基于L2范数的多帧图像超分辨率图像重建算法，在现有算法基础上改进计算精度和效率。(Based on the L2 norm of the multi-frame image super-resolution image reconstruction algorithm, on the basis of existing algorithms to improve computational accuracy and efficiency.)