narrowband

说明：  基于最小变分方法的快速图像复原方法，图像复原质量不变的情况下，加速算法的效率。(Image restoration based on Total Variation.)

ENVI格式多光谱数据批量求平均值并保存成tif格式文件输出(Batch average of ENVI multispectral data and save it as TIF file output)

非常全面介绍了阴影检测算法以及如何去除阴影的算法，基本涵盖了该领域的所有知识点。(Is a comprehensive introduction to the shadow detection algorithm and how to remove the shadow of the algorithm, covering all the knowledge in the field point.)

压缩感知和超分辨率论文，关于如何将低分辨率的图像如何重建成高分辨率图像，很有用(compressed sensing and super resolution)

图像的几何变换，基于VC++的MFC的。旋转、放大、缩小等(Image geometric transformation, based on the VC++ the MFC. Rotate, zoom in, zoom out, etc.)

CGAL，Computational Geometry Algorithms Library，计算几何算法库，设计目标是，以C++库的形式，提供方便，高效，可靠的几何算法。CGAL可用于各种需要几何计算的领域，如计算机图形学，科学可视化，计算机辅助设计和建模，地理信息系统，分子生物学，医学成像，机器人运动规划，网格生成，数值方法等等。 　　 计算几何算法库（CGAL），提供计算几何相关的数据结构和算法，诸如三角剖分（2D约束三角剖分及二维和三维Delaunay三角剖分），Voronoi图（二维和三维的点，2D加权Voronoi图，分割Voronoi图等），多边形（布尔操作，偏置），多面体（布尔运算），曲线整理及其应用，网格生成（二维Delaunay网格生成和三维表面和体积网格生成等），几何处理（表面网格简化，细分和参数化等），凸壳算法（2D，3D和dD），搜索结构（近邻搜索，kd树等），插值，形状分析，拟合，距离等。(The goal of the CGAL Open Source Project is to provide easy access to efficient and reliable geometric algorithms in the form of a C++ library. CGAL is used in various areas needing geometric computation, such as: computer graphics, scientific visualization, computer aided design and modeling, geographic information systems, molecular biology, medical imaging, robotics and motion planning, mesh generation, numerical methods... More on the projects using CGAL web page. The Computational Geometry Algorithms Library (CGAL), offers data structures and algorithms like triangulations (2D constrained triangulations, and Delaunay triangulations and periodic triangulations in 2D and 3D), Voronoi diagrams (for 2D and 3D points, 2D additively weighted Voronoi diagrams, and segment Voronoi diagrams), polygons (Boolean operations, offsets, straight skeleton), polyhedra (Boolean operations), arrangements of curves and their applications (2D and 3D envelopes, Minkowski sums), mesh generation (2D Del)

fcm 及快速fcm实现图像分割，还带有GUI界面(fcm fcm and fast image segmentation, but also with GUI interface)

adaboost的实现算法，可进行人脸的样本训练(implementation of the AdaBoost algorithm, can be a sample of people face training)

适合作为MATLAB的入门级教材使用，其中GUI设计部分参考价值较高。(An elementary course of MATLAB.)

利用MATLAB进行血管的三维图像重建,充分利用了matlab对大量图片的处理能力(The use of MATLAB to carry out three-dimensional image reconstruction of blood vessels, matlab full advantage of the large number of image processing capability)