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SRCNN Superresolution imteplated by tensorflow SRCNN tensorflow 实现(SRCNN Superresolution imteplated by tensorflow)

改进陈显毅GUI程序,可实现对异模情况下的配准，对边缘较明显的图片用处很大(The improvement of the Chen GUI program)

在文档下打开一个位图文件，重新绘制，放大并使其二值化显示，()

基于分数阶傅里叶变换的五篇博硕士论文，分别是在数字水印中的应用两篇，图象变换中的应用一篇，滤波中的应用一篇，目标检测中的应用一篇。(Based on Fractional Fourier Transform five Theses, respectively, in the digital watermark in the application of 2, images in the application of a transformation, filtering in the application of a target detection application 1.)

三步搜索法运动估计，用于视频处理的学习和论文(Three-step search motion estimation for video processing of the study and thesis)

彩色图像边缘检测（canny 算子，高斯窗口可调）(image edge detection [canny])

建立了混合高斯模型，可以对静止背景下运动目标进行检测。(Gaussian mixture model is established, you can still detect moving target in the background.)

能够提取出图像I的HOG特征，返回其幅值，角度和在各个角度上的幅值。 是进行其他针对图像的HOG特征提取的前一步。(I can extract images of HOG features, return to their amplitude, angle and perspective in all of the amplitude. Is the other for image feature extraction HOG step forward.)

利用改进的Sobel算子检测图像边缘,从水平、垂直、左右对角线的方向计算Sobel梯度，并且加入拐角的梯度值。(The improved Sobel edge detection operator, horizontal, vertical, left and right diagonal direction Sobel gradient calculation, and adding the value of the gradient of the corner.)

分割点云，并通过局部拟合求取法向量，实现点云压缩(Split point cloud, and through local fitting strike normal vector of point cloud compression)