1.达芬奇图像处理平台总体开发情况 2.non

说明：程序运行过程中要用到wedgelet工具包和wavelet802工具包； wdt-cwtdenoise ：wedgelet去噪算法主函数； 以下函数和其它函数均为被调用函数； DT_CWTdenoise ：复小波去噪函数； 其中：afb，afb2D，afb3D，AntonB，cplxdual2D，cshift2D，dualtree2D，dwt2D，idualtree2D pm，pm4，sfb2D，symextend，unnormcoef，reversecoefDHtgrselect，tee，dtcwtcoef， gencoef等等为复小波去噪时调用函数；-Description: program to run the process to use to wedgelet tool kits and wavelet802 kit wdt-cwtdenoise: wedgelet denoising algorithm main function the following functions and other functions are called function DT_CWTdenoise: Complex Wavelet denoising function which: afb , afb2D, afb3D, AntonB, cplxdual2D, cshift2D, dualtree2D, dwt2D, idualtree2D pm, pm4, sfb2D, symextend, unnormcoef, reversecoefDHtgrselect, tee, dtcwtcoef, gencoef for complex wavelet denoising, etc. when calling function

实现图像的平移!很值得大家参考!希望对大家有帮助!-Realize image translation! Is worth U.S. reference! Hope that everyone has to help!

很齐全的图像处理算法，包括各方面的图像处理简单算法-A very complete image processing algorithms, including all aspects of a simple algorithm for image processing

可用于图像的灰度修正，图像平滑及中值滤波及图像锐化等。-Can be used to image gray-level correction, image smoothing and median filtering and image sharpening and so on.

此书为鲁棒自适应控制方面的图书，英文版，内容挺丰富，对于搞控制方面的人来说，应该有一定的帮助。-This book for the robust adaptive control of the books, in English, quite rich in content, for people who engage in control, there should be some help.

实现简单图像处理，包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化（边缘检测）、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。-simple image processing, including color to grayscale 256, the Hough transform, Walsh transform, Median filtering, binary conversion, brightness changes, Fourier transform, and color-from the few to admit index, image shifting, image rotation, refined images, image scaling, image mirroring, mean filtering, contrast stretching, Laplacian sharpening (edge detection), block codes, Sharpening gradient, gray balance, histogram equalization, discrete cosine transform, Wiener filter, reverse filtering, threshold transform, Gaussian smoothing.

在图像处理中，主要用于对图像的细化操作。- In image processing, mainly used for fine-grained images

非常有名的SIFT变换程序，实现了多级变换检测！-A very well-known SIFT conversion process to achieve a multi-stage transformation test!

新编的角点检测程序，增加了健壮性！适合多用途的角点检测应用！-Reflected in the new corner detection process, an increase of robustness! Corner detection for multi-purpose applications!

图像边缘识别，侦测图像的边界并且得到边界点坐标-Edge identification, boundary detection and image coordinates of boundary points to be