Context-Aware-Saliency-Detection

Harris角点检测，关于角点的应用在图像处理上比较广泛，如图像匹配(FPM特征点匹配)、相机标定等。网上也有很多博客对Harris角点检测原理进行描述，但基本上只是描述了算法流程，而其中相关细节并未作出解释，这里我想对有些地方做出补充说明，正所谓知其然知其所以然，如有不对，还望指正。(Harris corner detection)

CS-LBP本人毕设设计所做，源代码都是自己写的，可用(CS-LBP I completed the set design done, write your own source code is available)

图片文字 合成实例

Visual C /MATLAB图像处理与识别实用案例精选 胡小锋编着.pdf

说明：  m-map工具箱，可以帮助画图，比如世界地图的背景(M-map toolbox, can help draw pictures, such as the background of the world map)

输入一幅图像，用传统的算子方法进行检测与用形态学腐蚀之后使原图像与腐蚀后的图像相减得到图像边缘进行比较(The Mathematical Morphology Image Edge Detection Based on MATLAB)

《A RETINEX-BASED ENHANCING APPROACH FOR SINGLE UNDERWATER IMAGE》基于retinex的水下图像复原算法，非常有效(" A RETINEX-BASED ENHANCING APPROACH FOR SINGLE UNDERWATER IMAGE" underwater retinex based image restoration algorithm is very effective)

SAR成像处理的过程是从回波数据中提取目标区域散射系数的二维分布，本质上是一个二维相关处理过程,因此最直接的处理方法是对回波进行二维匹配滤波，但其运算量很大，再加上SAR的数据率本来就高，这使得实时处难于实现。通常，可以把二维过程分解成距离向和方位向两个一维过程，Range-Dopper Algorithm（简称RD算法）(SAR imaging process is two-dimensional distribution of the scattering coefficient of the target area extracted from the echo data, in essence, is a two-dimensional process, the most direct approach is two-dimensional matched filtering of echo, its computationalthe great plus on SAR data rate was high, which makes real-time processing is difficult to achieve. Typically, two-dimensional process can be broken down into the range and azimuth to a two-dimensional process, the Range-Dopper Algorithm. (Referred to as the RD algorithm))

说明：  1，RGB图像分层 2，盲去卷积 3，运行环境需要matlab，加载到工作目录中，许手动添加图像文件(1. RGB image layering 2. Blind deconvolution)

一份关于用正则化去除图像模糊的资料，内含代码以及说明，并附上了仿真结果图(A report on the Regularization blur removal image data containing codes and descriptions, along with the simulation results of FIG.)