117143213GS_2D

一个简单的windows TDI框架,通过他可以熟悉TDI框架模型(A simple windows TDI framework through which he can familiarize himself with the TDI framework model)

说明：  一个简单的windows TDI框架,通过他可以熟悉TDI框架模型(A simple windows TDI framework through which he can familiarize himself with the TDI framework model)

relief 特征选择算法，用来约简数据属性。图像处理等(Relief feature selection algorithm is used to reduce data attributes. Image processing, etc.)

双目视觉 图像匹配 sift特征提取与匹配 极线校正(Binocular vision image matching sift feature extraction and matching polar line correction)

说明：  考虑DCT阈中量化效应，采用8X8的DCT模板，选择量化步长，结合缩放因子进行图像压缩。(Considering the quantization effect in DCT threshold, we use the 8X8 DCT template, select the quantization step, and combine the scaling factor to compress the image.)

Lecture on fibonnaci heap

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.)

说明：  通过已经获取的新冠肺炎数据 预测未来走势 并用网页的形式动态呈现(The novel coronavirus pneumonia data are used to predict the future trend and to dynamically display it in webpage form.)

说明：  GVF snakes. 最近学习用到的code，可以帮助图像处理入门级的学生了解GVF snake的实现。(GVF snakes. Recent study used the code, image processing can help entry-level students to understand the realization of GVF snake.)

说明：  测试Glew开发环境搭建是否成功，如果您成功的安装了对应的glut和glew库文件。(the test code for glew, to know is it working.)