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中南大学数字图像处理上机实验指导书及参考答案，全部由本人编写，在MATLAB 6.5上运行通过。包括图像变换及频域滤波，空间域图像增强，图像边缘检测及参考图片，比网上流传的好的多，是学习图像处理的基础。(Zhongnan University of digital image processing on the experimental guide and reference book answers all prepared by me, MATLAB 6.5 to run through. Image Transform and including the frequency domain filtering and spatial domain image enhancement, edge detection and reference photographs, spread over the Internet much more study is the basis of image processing.)

图像处理方面，包括滑动窗口，线性滤波，中值滤波(Image processing, including sliding window, linear filtering, median filtering)

说明：  几种高分辨率图像重建算法的实现 以及各功能对比，利用matlab GUI实现(super_resolution reconstrction)

说明：  SAD立体匹配程序，附带测试图像.立体匹配学习的好内容。(SAD stereo matching process, attached to the test image. Stereo Matching learn the content.)

此算法为基于k-means聚类的非局部均值快速去噪算法，方法便捷有效，可保持边缘信息(this is a fast edge-preserving denoising method based on non-local means method with k-means clustering)

用python编写的基于CV2的图像融合程序，实现偏振信息到IHS的转换、融合。(Using python to write the CV2-based image fusion program to achieve the polarization information to IHS conversion, integration.)

包含二值化、canny算子边缘检测、感兴趣区域提取、自动多阈值分割等程序，及分水岭分割和连通域字符识别两篇文章。(Contains two values, canny edge detection, region of interest extraction, automatic threshold segmentation procedures, and watershed segmentation and character recognition two articles connected domains.)

分数阶各向异性扩散图像去噪，实现了文献Fractional-Order Anisotropic Diffusion for Image Denoising, Jian Bai, Xiang Chu, IEEE T. Image Process.,2007, 16(10): 2492-3502(Fractional anisotropic diffusion denoising literature Fractional-Order Anisotropic Diffusion for Image Denoising, Jian Bai, Xiang Chu, the IEEE T. Image the Process, 2007, 16 (10): 2492-3502)

说明：  这是国外某人写的开放gentel boost的源码，可用于基本的物体检测(This is a foreign person to write gentel boost open source code can be used to detect the basic objects)

图像压缩实例，使用函数wdcbm2()获取信号压缩阀值(the example for image compression using wdcbm2() which is a wavelet function )