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混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal components analysis, PCA) 方法来刻画椭球体背景模型, 提出了一种基于主成分分析的Codebook 背景建模算法. 实验表明, 本文算法不仅能够更准确地描述背景像素值在RGB 空间中的分布特征, 而且具有良好的鲁棒性.(The background modeling algorithm of mixture of Gaussian (MOG) and codebook is widely used in moving object detection of surveillance video. However, the ball model of MOG usually assumes that the three components of RGB are independent, while the cylinder model of codebook assumes that the value of background pixel is distributed uniformly within the cylinder and the changing direction of brightness points to the origin of the coordinate system. These assumptions reduce the descriptive capability for background modeling. Therefore, the paper proposes an ellipsoid- based background model, which overcomes the MOG and codebook0s limitations. By using principal component analysis to depict the ellipsoid background model, a novel PCA-based codebook background modeling algorithm is proposed. Experiments show that this algorithm can not only give more accurate description of the distribution of background pixels but also have a better robustness.)

CHEMKIN-III package. Gas mixture sensitivity analysys.

用于BMP图像文件的滚动显示，带上下和水平滚动条。(This file is used to display BMP image files, with up-down and horizontal scroll bars.)

图像配准，利用互相关的方法进行图像配准，能达到良好效果(Image registration, the use of the cross-correlation method of image registration, and can achieve good results)

使用matlab代码求出不规则区域所对应的最小外接矩形(find the smallest rectantangle of unregular region with matlab)

Tarel和Hautiere的图像去雾方面的程序，去雾效果很不错，对于研究很在参考价值。(Tarel and Hautiere image to the fog of program, go to mist effect very good, to study in a reference value. )

高光谱图像的读取程序，在matlab界面直接调用就可以(Hyperspectral image reading program in matlab interface can be called directly)

asift的matlab和c程序都在里面 大家慢慢研究吧 很好的程序(asift the matlab and c procedures are on the inside we study it slowly very good program)

说明：  文献 基于灰度-梯度共生矩阵的视网膜血管分割方法(Literature based on the gray- the gradient co-occurrence matrix of the retinal blood vessel segmentation method)

我写的基于bandelet域的spiht图像压缩算法。效果比经典的SPIHT好。文章已发，希望代码对大家有用。(I wrote bandelet domain-based SPIHT image compression algorithm. SPIHT is better than a good classic. Article has been distributed, I hope the code useful for everyone.)