matlab实现国旗识别

说明：  图像重建Matlab程序，仅供参考学习，希望对您有用。大家一起学习进步。(Image reconstruction matlab program, only for reference learning, hope to be useful to you. Let's learn and improve together.)

gabor小波变化的实现，用于数字图像处理中Gabor特征的完全提取。自己项目中已经用到了。(Achieve gabor wavelet transform for digital image processing totally Gabor feature extraction. Himself has used the project.)

利用GPU加速的SIFT算法，实现影像匹配，并利用RANSAC进行粗差的剔除(GPU-accelerated use SIFT algorithm to achieve image matching, and use RANSAC removing coarse poor)

实现热键截图的功能，把截到的图片保存到制定的文件夹中，然后把图片输出到报表中，形成报表！(Achieve hotkey screenshot function, the cut-off to save the picture to develop a folder, and then the picture output in the report, the formation of statements!)

这是一个关于一种基于提升小波和分形理论的多源图像融合方法的源程序(This is an upgrade based on wavelet and fractal theory of multi-source image fusion method of the source)

RGB和LAB色彩转换源码程序，根据颜色组成原理通过计算实现RGB和LAB色彩转换。(RGB and LAB color conversion source program , according to the colors of the RGB and LAB color principle to achieve conversion by calculation.)

提取并显示鼠标所在图像点的颜色，C++精选学习源码，很好的参考资料。(To extract and display the image color, select learning C++ source code, a good reference.)

一款类似photoshop的图形处理软件，利用vc mfc编程的数字图象处理工具。极其精彩！(new graphics software, using vc mfc programming digital image processing tools. Very exciting!)

JPEG压缩方法由于其较高的压缩比和理想的压缩效果，是目前应用最广泛的图像压缩方法(JPEG compression method because of its higher compression ratio and ideal compression effect, is currently the most widely used method of image compression)

说明：  a）针对合成纹理图像（共有4 个合成纹理图像，见文件夹： Texture_mosaic_data）中每一个像素提取纹理特征向量； b）利用聚类技术（推荐用k‐均值聚类，可以从网上查找原码）对特征向 量空间中的点进行聚类，类别数可根据图像中的实际纹理类数确定。最后把类 属标签映射成图像形式显示（如下图，其中b、d、f、h 为相应的基准分割图像）。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder: Texture feature vector is extracted from every pixel in texture; B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction The number of categories can be determined according to the actual number of texture classes in the image. Last class The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)