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C++语言下, 关于图论算法的一些模版, 包括一般图最大匹配, km匹配, 最小割等等, 共15个模版(C++ language under the graph theory algorithm on a number of templates, including the maximum matching in general graph, km matching, minimum cut, etc., a total of 15 templates)

实现了一个图像分块的DCT去噪算法，用于学习参考(We achieve an image block DCT denoising algorithm, for learning reference)

图像颜色聚类分割，实现了图形分割，基于RGB特征并显示出来。(Color image segmentation clustering, to achieve the graphics division, based on the characteristics of RGB and displayed.)

本程序是基于单幅图像的超分辨率算法，通过对输入的高分辨率图像进行下采样得 % 到原始低分辨率图像，对输入的低分辨率图像插值后，利用DWT将低分辨率图像分 % 解为不同的4个子带；同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子 % 带来修正DWT得到的高频子带。最后，通过逆离散小波变换（IDWT）组合修正的高 % 频子带和低分辨率图像，得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This program is a super-resolution algorithm based on a single image, which is sampled from the high resolution image of the input. % to the original low resolution image, after interpolating the input low resolution image, the low resolution image is divided by DWT. The% solution is different 4 subbands, and the resolution image is processed by SWT. High frequency subsets obtained by SWT % brings the high frequency subband obtained by the modified DWT. Finally, the height of the combination of inverse discrete wavelet transform (IDWT) % frequency subband and low resolution image, and the output super-resolution image is obtained. The results were evaluated by calculating PSNR and SSIM.)

好东西，下下来看就知道了好东西，下下来看就知道了(Good things, under the terms of the next good thing to know, under the circumstances of view to know)

完整的仿真了地形匹配中的TERCOM算法，包含了地形数据。(A complete simulation of terrain matching in the TERCOM algorithm, including terrain data.)

一个简单的例子，演示如果通过VC使用进度条空间(A simple example demonstrates how to use progress bar space through VC)

说明：  基于卷积神经网络的图像融合方法，首次将卷积神经网络应用到图像融合领域。(The image fusion method based on convolutional neural network is first applied to image fusion.)

直方图自适应模糊分割算法，基于图像直方图统计信息的模糊分割算法，算法简单，速度快(Histogram adaptive fuzzy segmentation algorithm, based on image histogram statistics of the fuzzy segmentation algorithm, algorithm is simple, fast)

说明：  分水岭算法是一种图像区域分割法，在分割的过程中，它会把跟临近像素间的相似性作为重要的参考依据，从而将在空间位置上相近并且灰度值相近的像素点互相连接起来构成一个封闭的轮廓，封闭性是分水岭算法的一个重要特征。本示例适用于二维和三维图像，计算分水岭变换并将结果标签矩阵显示为RGB图像。 分水岭算法是一种图像区域分割法，在分割的过程中，它会把跟临近像素间的相似性作为重要的参考依据，从而将在空间位置上相近并且灰度值相近的像素点互相连接起来构成一个封闭的轮廓，封闭性是分水岭算法的一个重要特征。本示例适用于二维和三维图像，计算分水岭变换并将结果标签矩阵显示为RGB图像。(The watershed algorithm is an image region segmentation method. In the segmentation process, it will use the similarity with neighboring pixels as an important reference basis, so as to connect pixels that are close in space and have similar gray values to each other. Forming a closed contour, closedness is an important feature of the watershed algorithm. This example applies to 2D and 3D images, calculates the watershed transformation and displays the resulting label matrix as an RGB image.)