fractal-box

各种图像分割算法程序，里面包含好几个文件夹，每一个文件夹都有程序(matlab image sengmentation)

Ncut的文献及matlab源代码。基于图的分割非常好的一个算法(Ncut literature and matlab source code. Graph-Based Segmentation Algorithm for a very good)

同轴数字全息图及其重建的MATLAB程序(In-line Digital hologram and reconstruction of MATLAB program)

图像拼接小程序，使用直接对比的方法进行拼接并用加权平均的方法进行融合 (a simple program for image splicing )

数学形态学方法及其应用，老书不好找电子版啦，给大家发一个。超星版的(Mathematical morphology and its applications, the old books not easy to find electronic version of啦, give you hair a. Superstar Edition)

进行图像去噪的小波变换源程序，多重小波分解(Image Denoising the wavelet transform source code, multiple wavelet decomposition)

压缩包展示了对含高斯噪声和椒盐噪声图片去噪处理的基本去噪演示，包括均值滤波、中值滤波、维纳滤波、小波滤波。希望可以对初学的朋友有所帮助。(Basic denoising with Gaussian noise and salt and pepper noise image denoising demo, including mean filter, median filtering, Wiener filtering, wavelet filter)

飞机的设计和制造一直是与性能优异的材料 联系在一起。20世纪60年代中期以碳纤维为增强体 的复合材料问世，70年代初开始应用于军用飞机 结构，80年代开始应用于民用飞机结构。复合材料 具有比强度高和比刚度高的独特优点，飞机结构 采用复合材料，其重量可相应减少20%~30%[1]。此 外，复合材料还具有可设计性强、疲劳性能好、耐 腐蚀、易于大面积整体成型、维护性好等优点。目 前，复合材料已经成为重要的飞机结构材料。(he design and manufacture of aircraft has been a material with excellent performance Relate. In the mid 1960s, carbon fibers were used as reinforcements The composite material came out and was used in military aircraft in the early 70s The structure began to be applied to civil aircraft structures in 80s. Compound material The aircraft structure has the unique advantages of high specific strength and high specific stiffness The weight of the composites can be reduced by 20%~30%[1] accordingly. this Besides, the composite material has the advantages of good design, good fatigue performance and good resistance to fatigue Corrosion, easy to form a large area, good maintainability and so on. order Before, composite materials have become important aircraft structural materials.)

APG算法，加速近端临近点算法，通过对子问题的调整，计算速度很快(APG algorithm, accelerated near the proximal point algorithm, by adjusting the sub-problems, fast calculation)

说明：  用于EEG脑部图像网络绘制的matlab程序包(Matlab package for EEG brain image network rendering)