GPExpand

亚像素提取边缘源代码，可以进行准确的边缘检测(Subpixel edge source code)

说明：  基于活动轮廓模型的图割算法，实现图像的高效分割！非常好的代码。希望帮助大家！(Graph cuts based active contours which is used for image segmentation.Excellent source code!)

说明：  分布式合成孔径雷达成像仿真，包含像素级配准。(Distributed Simulation of synthetic aperture radar imaging, including pixel-level registration.)

本程序主要实现暗背景下含高斯噪声的光斑滤除噪声，实现光斑中心提取。采用了sobel算子和梯度倒数加权滤噪、最大类间方差法（Otsu）确定阈值、质心法提取光斑中心坐标。(The program is mainly realized under a dark background Gaussian noise spot containing noise filtering, to achieve spot center extraction. Using sobel operator and gradient inverse weighting filter noise, Otsu method (Otsu) to determine the threshold, the center coordinates of the spot centroid extraction.)

本程序为基于快速双边滤波器的边缘保持算法，算法具有平移不变性，具有线性复杂度(this is a edge-preserving denoising method using fast bilateral filter)

1.运用Laplacian算子，基于二阶微分的图像增强，即拉氏变换法进行图像平滑 2.利用邻域平均法实现图像的平滑处理 3.利用Robert算子做锐化处理(1. The use of Laplacian operator, based on second-order differential of the image enhancement, that is, Laplace transform method for image smoothing 2. The use of neighborhood average method of smoothing image 3. The use of Robert sharpening operator to do)

说明：  李春明提出的无需水平集初始化的思想是图像分割的一个重大突破，重庆大学的何传江教授对该算法进行了改进，里面是我的实现算法(Li Chunming s no need to initialize the idea of ​ ​ the level set image segmentation is a major breakthrough, Chongqing University, Professor He Chuanjiang to improve the algorithm, which is my algorithm )

一种像素级指纹方向场估计算法以及对应的像素级奇异点检测算法。(A pixel-level orentation field estimation algorithm and the corresponding singular point detection method.)

说明：  sar图像去噪的几种新的方法，滤波效果明显，做毕设是在万方上找到的，分享一下(sar de-noising )

压缩感知和超分辨率论文，关于如何将低分辨率的图像如何重建成高分辨率图像，很有用(compressed sensing and super resolution)