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AForge.NET-sample

一个很好的马尔科夫随机场（MRF）模型应用实例。(Examples for the application of markov random field.)

说明：  利用卷积神经网络进行特征提取，并将卷积特征可视化(Feature extraction using convolutional neural networks and visualization of convolution features)

改程序是用来行人检测的，有源代码，可以轻松学习并参考。(The reform program is used for pedestrian detection, source code, you can easily learn and reference.)

精心收集的几个去噪算法，包括基于视觉的非线性去噪、BLS_GSM算法、NL-Bayes图像去噪、KSVD去噪等，内容为核心代码，需要配置完善。 (Denoising algorithm of several carefully collected, including visual based nonlinear denoising, BLS_GSM algorithm, NL-Bayes image denoising, KSVD denoising, the content as the core code, the need to improve the allocation of. )

本程序实现医学图像的增强，实验显示，处理后的医学图像轮廓清晰，可识性较好。(This procedure to achieve medical image enhancement, experiments showed that the treated medical image outline a clear, identifiable better.)

自己设计的GVF模型图像分割程序，改进了初始轮廓的选择方法，快速分割。(GVF model designed image segmentation process to improve the initial outline of the selection method, rapid division.)

本人自己实现的单纯meanshift跟踪算法.按原理编译,适合初学者参考(I own a simple realization of the tracking algorithm meanshift. In accordance with the principle of the compiler, suitable for beginners reference)

稀疏自适应匹配追踪算法，无需稀疏度，就可以重构原始信号。(Sparse adaptive matching pursuit algorithm, without sparsity, we can reconstruct the original signal.)

粒子滤波算法实现目标定位的程序，matlab(Particle filter algorithm targeting program)