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关于指纹图像处理的有关论文资料，希望各位同仁多多 指教。(Fingerprint image on paper deal with the relevant information, I hope that Tongren exhibitions.)

用delaunay三角剖分和网格填充对离散点云数据进行网格重建(Mesh reconstruction of discrete point cloud data using Delaunay triangulation and mesh filling)

说明：  运动模糊图像通过四种方法维纳滤波、约束最小二乘法、lucy、盲目卷积图像复原(Motion-blurred image through the four methods of Wiener filter, constrained least squares method, lucy, blind deconvolution image restoration)

直方图均衡化处理编程指南及实验报告，数字图像处理及应用，阮秋琦教授，北京交通大学（资源分享）。(Histogram equalization processing programming guide and laboratory reports，Application of digital image processing and Beijing Jiaotong University, Professor Ruan Qiuqi)

可以打开各种图像格式，并显示，很好很强大(Can open a variety of image formats)

图像去噪，小波硬阈值滤波，sym4小波基函数(Image denoising and hard threshold wavelet filtering, sym4 wavelet basis function )

encryption and decryption of image using bit XOR..

说明：  序贯重要性采样——标准粒子滤波算法。可直接使用。(Sequential importance sampling- standard particle filter. Can be used directly.)

斯坦福大学的姚邦鹏开发的一个图像分类算法，使用random forest实现了图像的精细区域描述，赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试，程序完全可运行，且提供了MAC和Windows下的两种程序。(Image Classification: An Integration of Randomization and Discrimination in A Dense Feature Representation The goal of our method is to identify the discriminative fine-grained image region that distinguishes different classes. To achieve this goal we sample image regions from dense sampling space and use a random forest algorithm with discriminative classifier. Each node of the tree of random forest is trained and tested with fine-grained image patches combining the information from upstream nodes together. We implemented each node of the tree with a discriminative SVM classifier, which makes the node as a strong classifier. )

图像简单处理小程序，带有测试图片，比较实用的小冬冬 (Simple procedures to deal with small images, with the test pictures, more practical small Dongdong)