OIF

CHEMKIN-III package. Gas mixture sensitivity analysys.

insar图像数据，envisat卫星单视复数数据，可在matlab中直接打开(insar data, envisat single look complex data, which can be opened directly in matlab)

说明：  用水平集做的 MRI大脑图像分割 内有用法说明 （带图形界面）(To do with the level set within the MRI brain image segmentation instructions (with graphical interface))

Image feature extraccting using sift

说明：  基于小波变换的数字水印，包含的嵌入与提取代码，原理等(Digital watermarking based on wavelet transform, including embedded and extracted code, principle, etc)

说明：  如题，matlab手写数字测试图像处理 样本（30+50个）加全代码加测试结果(Like title, matlab handwritten digital test image processing samples (30 + 50) plus full code plus test results)

这是冈萨雷斯版数字图像处理中的几个函数的实现，包括dftfilt, dftuv,hpfilter,imnoise2,improd,希望对你的学习有所帮助(This is the realization Gonzalez version Several digital image processing functions, including dftfilt, dftuv, hpfilter, imnoise2, improd, I hope to help you learn)

本代码实现的功能：24位位图（BMP）的灰度化。具体实现过程：打开图像文件,找到数据区(每3个字节代表一个象素的R,G,B值),循环扫描,根据RGB的权重,计算出灰度值. 如果要得到256色灰度图,则要新建一个调色板,修改信息头和文件头.(Realize the function of the code: 24-bit bitmap (BMP) of the gray. Concrete realization of the process: Open the image file, locate the data area (3 bytes per pixel on behalf of a R, G, B values), cyclic scan, according to the weight of RGB, gray value is calculated. If you want to get 256 colors grayscale, would create a new palette, modify the header and file header information.)

运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。(Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training and test vehicle picture. Due to time reasons, the use of haar feature is not optimized, high dimension, resulting in sliding sash figure is too slow, the effect of the code only output statistics for your reference learning sparse representation in the vehicle detection.)

python实现的三维空间维罗尼图算法演示。(3d voronoi use python)