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此程序为shearlet程序，用于对图像进行分解变换，有兴趣的可以下载(This procedure for shearlet program for image decomposition transform, are interested can download)

说明：  可支持手写数字识别，r和python两种语言编写，生成画板鼠标手写输入，也支持上传图片(Handwritten digit recognition)

先进行高斯金字塔分层，在拉普拉斯分解，最终将两幅局部有模糊的图像进行融合，最后显示清晰图像。(First Gaussian pyramid stratification, in Laplace decomposition, the final two local fuzzy image fusion, and finally show a clear image.)

自编源码：读取 yuv 文件保存为Jpg图，实现视频文件的转化(Own-source: Read yuv files saved as Jpg map, realize the conversion of video files)

non-local means denoising 自己实现的非局部均值图像去噪的原始算法，对理解算法原理有一定帮助(Non-local means denoising： an implementation of the non-local means denoising of the original algorithm, some help understanding algorithm)

利用最小二乘法，可以自动实现图像中的椭圆检测并拟合出来，效果很好(Ellipse detection and fitting them to achieve)

sift匹配算法,来个Lowe的个人博客(sift match)

识别结果详见下图，识别图像不错的例子

Keystone Transform in ground moving target detection，it s very useful new comer(Keystone Transform in ground moving target detection)

hough变换检测直线代码在matlab下的运行(hough transformation)