IMAGE-matching

自己编写的图像腐蚀与膨胀matlab代码，经试验证明与matlab中自带的腐蚀和膨胀函数运行效果相同，可供初学图像处理的同学参考使用。(The image corrosion and expansion matlab code written by myself has been proved to be the same as the corrosion and expansion function of the matlab. It can be used by students who are ready for beginner image processing.)

最为经典的ROA和ROEWA算子，用于SAR图像边缘检测，并附有一定的实例图像，以说明实验结果。(ROA and ROEWA algorithms are given in order to detect the edge of images, and some images are attached illustrating the experimental results.)

这是我花了很多时间收集的有关sift-pca资料哦，里面也包括了sift-pca的MATLAB代码(This is what I spent a lot of time to collect information about the sift-pca Oh, which also includes a sift-pca MATLAB code)

基于W-SVD的小波数字水印算法，包括水印生成、水印嵌入和水印检测，理解SVD奇异值分解算法。(Wavelet digital watermarking algorithm based on W-SVD includes watermarking generation, watermarking embedding and watermarking detection, and understanding SVD singular value decomposition algorithm.)

图像拼接，用于合成全景图像，VC++开发环境，C++实现。(Image Stitching)

说明：  矩阵填充经典算法的代码，包含SET，SVT等(Matrix filling code of classical algorithm, including set, SVT, etc)

使用函数wbmpen获取小波去噪阈值,然后使用函数wbmpen实现信号去噪(Use function wbmpen threshold for wavelet de-noising, and then use the function wbmpen for signal denoising)

改进的图像分割算法：运用SLIC超像素分割和DBSCAN聚类算法相结合的方法实现图像分割(Image Segmentation using SLIC SuperPixels and DBSCAN Clustering)

针对杂波环境下的多个机动目标跟踪问题, 本文将多模型概率假设密度 (Multiple-model probability hypothesis density, MM-PHD) 滤波器和平滑算法相结合, 提出了 MM-PHD 前向 – 后向平滑器. 为了避免引入复杂的随机有限集 (Random finite set, RFS) 理论, 本文根据 PHD 的物理空间 (Physical space) 描述法推导得到了 MM-PHD 平滑器的后向更 新公式. 由于 MM-PHD 前向–后向平滑器的递推公式中包含有多个积分(By integrating the multiple-model probability hypothesis density (MM-PHD) filter with the smoothing al- gorithms, an MM-PHD forward-backward smoother is proposed in this paper for tracking multiple maneuvering targets in clutter. To avoid use of complex random finite set (RFS) theory, the backward updated equation of the MM-PHD smoother can be derived according to the physical-space explanation of the PHD)

用方向可调小波变换实现图像边缘提取，包涵实验报告及原图像及处理结果(Steerable Wavelet Transform using edge extraction, bear with lab reports and the original image and processing results)