Context-Aware-Saliency-Detection

使用KINECT获取深度图像的源码，在vs平台下使用C++编写。(Use KINECT obtain depth image source, written using C++ in vs internet.)

多径条件下基于加权空间平滑的阵元幅相误差校正(Multipath based on weighted spatial smoothing array element amplitude and phase error correction)

基于遗传模拟退火和Otsu法的图像分割。采用一种基于模拟退火算法(SA)的混合遗传算法(GASA),来进行Otsu方法选择阈值，其中进行求解时是非线性的遗传算法（GA）的应用优化了求阈值过程，并尽可能地减少其运算量,而加入SA则避免了遗传算法(GA)常见的早熟收敛现象,从而实现有效简单的图像分割。 (adopt hybrid genetic algorithm(GASA) based on simulated annealing algorithm,choose threshold by Ostu method,which applicated the non-linear genetic algorithm(GA) allows us to optimize the process of threshold. And, where possible, to reduce the computation. in order to achieve effectivly and simply image segmentation. Combination SA is to avoid the common phenomenon about premature convergence in genetic algorithm (GA) to achieve a simple and effective image segmentation.)

视网膜图像的归一化Matlab源代码程序(retinal images to a source of Matlab procedures)

水印嵌入及多种攻击源码，源码当中有整个源码的详细说明(watermark embedding and various attacks source, which is the entire source of detailed source)

灰度或彩色多模态医学图像的融合，利用加权平均融合算法，程序具体很好的通用性，并且提供几种图像融合客观评价指标，还给出3组宝贵的已配准医学图像(Color gray or fusion multimodal medical images, using a weighted average fusion algorithm, program specific good versatility and provide an objective uation of several image fusion, the three groups are also given valuable medical image registration has been)

利用MATLAB的图像用户界面GUI设计一个简单的菜单式图像处理系统。通过该程序实现对图像的简单处理、变换和去噪等功能，满足课程设计的要求。(A simple menu image processing system is designed by using the image user interface GUI of MATLAB. Through this program, the functions of image processing, transformation and denoising are realized, which meet the requirements of curriculum design.)

老外写的图像分割matlab代码，内有详细的说明(Foreigner to write matlab code for image segmentation, which is described in detail)

本文件是一个细菌觅食粒子群算法，在数字图像处理中的应用。(This document is a bacterial food particle swarm algorithm in the digital image processing applications.)

关于图像处理的一些基本操作，空间、频域图像增强，形态学处理，边缘检测等(About some of the basic image processing operations, space, frequency domain image enhancement, morphological processing, edge detection, etc.)