Image_Restoration

各类图形处理算法代码，齐全的图形处理算法，可以直接运行。去噪，识别，检测，拼接等(Complete graphics processing algorithm, you can run directly. Denoising, identification, detection, stitching and so on)

非常适合计算机视觉方面的研究使用,包括四元数的各种计算,算法优化非常好，几乎没有循环。( Very suitable for the study using computer vision, Including quaternion various calculations, Algorithm optimization is very good, almost no circulation.)

自适应卡尔曼滤波 英文参考文档资料 含有matlab例程(Adaptive Kalman filtering English reference documentation contains matlab routine)

毕业论文，运用小波分析对图像进行处理，内附源代码(Thesis, the use of wavelet analysis of the image processing included source code)

细菌觅食算法与粒子群优化算法相结合的程序，可以实现适应度函数的最值计算，有很好的参考价值。(Bacterial Foraging algorithm and particle swarm optimization combined program, you can achieve the best fitness function value, and have a good reference value.)

首先将RGB转换到HSV，再根据阈值进行HSV图像的分割(First convert RGB to HSV, then HSV image segmentation based on threshold)

说明：  利用matlab对只包含RBG三个波段的图像进行植被提取，通过设定一定的阈值将植被与背景进行分割(The vegetation is extracted from the image containing only three bands of rbg by matlab, and the vegetation and background are segmented by setting a certain threshold.)

Matlab图像处理,包含图像平滑、锐化等 图像平滑处理包含均值滤波和中值滤波 图像锐化处理包含拉普拉斯算子和Roberts算子、Prewitt算子和Sobel算子(Matlab image processing, including image smoothing, sharpening and other image smoothing with the mean filter and median filtering image sharpening with the Laplace operator and the Roberts operator, Prewitt operator and Sobel operator)

说明：  粒子滤波改进的重采样程序，Performs the resampling stage of the SIR (Improved particle filter resampling procedure, Performs the resampling stage of the SIR)

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 ). " )