IBP

入门级GDI画图实例

说明：  模糊分割，基于混沌粒子群以及二维直方图的斜分阈值分割(Fuzzy partition, based on chaotic particle swarm and the oblique two-dimensional histogram thresholding)

Elad 《Sparse and Redundant Representations 》一书中的代码，关于稀疏理论，介绍的比较系统

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.)

迭代最佳阈值分割算法，寻找最佳阀值检测边缘(best iteration threshold segmentation algorithm to find the best edge detection threshold)

三维表面重建算法，matchingcube快速算法。(3D surface reconstruction algorithm)

简单的几个四叉树分解程序，主要用于图像的分割(Several simple quadtree decomposition procedure, mainly used for image segmentation)

功能：应用Rudin-Osher-Fatemi模型进行图像去噪，在ROFtest.m 中输入图像，附带文档ROFscheme内容为此模型的数值分析过程，比较详细，适合初学者(Classic 􏰉 Rudin-Osher-Fatemi model denoising, the including documentation is the numerical analysis process of the model in detail, suitable for beginners)

说明：  matlab三维重建程序 完整的程序，入门相当不错，值得学习！(matlab program complete three-dimensional reconstruction process started quite well, it is worth learning!)

关于图像处理的一些基本操作，空间、频域图像增强，形态学处理，边缘检测等(About some of the basic image processing operations, space, frequency domain image enhancement, morphological processing, edge detection, etc.)