Estimation-master

基于sift算法的图像拼接matlab代码，经过测试，可以运行，对有重叠部分的图像进行拼接，效果不错(Sift algorithm based on the image mosaic matlab code, the test run splicing with overlapping portion of the image, good results)

说明：  经典图像处理灰度图像去噪模型，以及改进模型效果不错(Classic image processing gray image denoising model, and improved model good results.)

基于边缘检测的迭代分水岭分割算法源码(内附图片等)(Image Segmentation Using Iterative Watersheding Plus Ridge Detection)

改进的图像拼接算法，基于sift算法，实现图像的自动拼接，测试，完美运行(Improved image mosaic algorithm based the sift algorithm to achieve automatic image stitching, test, run perfectly)

snakes are a variational technique to find the best contour,(Snakes are a variational technique to find the best contour,)

对输入的一张彩色图像，自己写代码实现Harris Corner 检测算法： 1. 不能直接调用OpenCV 里面与Harris 角点检测相关的一些函数； 2. 只能用C/C++，不能用其他语言； 3. GUI 只能用自带的HighGUI，不能用QT 或其他的； 4. 平台可以用Windows， Linux, MacOS； 5. 显示中间的处理结果及最终的检测结果，包括最大特征值图，最小特征值图，R 图（可以考虑彩色 展示），原图上叠加检测结果等，并将这些中间结果都输出成图像文件； 6. 命令格式： “xxx.exe 图片文件 k 参数(=0.04) Aperture_size(=3)”。(The input of a color image, write your own code to achieve Harris Corner Detection Algorithm: 1. Can not be called directly inside OpenCV some functions associated with the Harris corner detection 2. To only use C/C++, can not be used in other languages 3. GUI only with their own HighGUI, can not use QT or other 4. The platform can be used Windows, Linux, MacOS 5. Display intermediate and final results of the test results, including the largest eigenvalues diagram, the minimum feature value graph , R chart (you can consider color display), picture superimposed on the test results, etc., and these intermediate results are output as an image file 6. Command Format: " xxx.exe picture file k parameters (= 0.04) Aperture_size (= 3 ). " )

利用DOA和TOA对运动辐射源的单舰无源定位(Using a single passive location DOA and TOA ship moving emitter)

说明：  matlab实现人脸识别和虹膜定位 识别效果良好(Accurate eye location by MATLAB)

使用VC++ 6.0 和 OpenCv实现粒子滤波目标跟踪算法，主要功能在MFC对话框内实现。(particle filter object tracking)

说明：  一个基于matlab的改进的灰度图像分水岭分割算法，该算法改进了普通的分水岭算法的过分割等问题，经过一系列处理可是分割结果更加准确。(Matlab based on gray-scale image of the improved watershed segmentation algorithm to improve the ordinary over-segmentation of watershed algorithm and so on, but after a series dealing with a more accurate segmentation results.)