my_3_STEP_search

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 ). " )

能完成图像的修复以及处理，对小的破损以及划痕和噪声处理效果不错。(complete image processing and repair of small scratches and breakage of noise and good results.)

通过对二维人脸图片的特征提取进行三维人脸的重建(Through the two-dimensional face image feature extraction for three-dimensional reconstruction of human faces)

BSCB数字图像修复算法，用matlab编写，可以直接运行(BSCB digital image restoration algorithm, using matlab prepared, can be directly run)

说明：  matlab 几个常见的图像处理操作，包括RGB颜色分量，imadjust函数运算，非常适合初学者学习(Several common image processing operations in MATLAB, including RGB color component, imadjust function operation, are very suitable for beginners to learn)

图像处理中的一些常用代码，包括：腐蚀操作 开启和闭合操作 形态学边界提取 形态学骨架提取 直接提取四个顶点坐标(Some of the commonly used image processing code, including: Opening and closing operation of corrosion morphology boundary extraction morphological skeleton extraction to extract four vertex coordinates)

利用图像的不变矩以及模式识别的内容，构造三维飞机图像的矩特征，然后再利用D-S证据理论的改进方法 吸收法对图像进行融合 对飞机的型号进行匹配(Moment invariant of image and pattern recognition of the content, structure features three-dimensional plane images of the moment, and then use the improved DS evidence theory method of absorption of the fusion images to match the type of aircraft)

混合高斯模型的背景减除法和相邻帧差法相结合进行目标检测的程序，内附视频(The background of the gaussian mixture model reduction division and adjacent frame differential method for target detection with the program, enclosing video)

说明：  灰图像三级小波分解，以lena图像为例。(Gray image 3 wavelet decomposition to lena image as an example.)

凸一维总变差去噪与非凸正则化，内有文献参考。值得学习(One-dimensional convex total variation denoising non-convex regularization, the literature reference. Worth learning)