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6自适应波段选择高光谱图像融合使用互信息。国际会议信息融合2005 _guo_fusion_a(6 Adaptive band selection for hyperspectral image fusion using mutual information . International Conference on Information Fusion 2005_guo_fusion_a)

说明：  基于压缩感知理论的目标跟踪算法，实现对可视目标的稳健跟踪(Target tracking algorithm based on compressed sensing theory)

主要是对视网膜图像进行血管分割，效果还不错(Primarily on retinal vascular image segmentation, the effect was not bad)

图像增强的算法，但是有一定的局限性……但是对于一般比较典型的问题效果还是不错的……(Image enhancement algorithms, but there are some limitations ... but for a typical effect is good ...)

用双线性插值法实现的图像缩放，内有详细的使用说明。非常好用(Bilinear interpolation method used to achieve the image scaling, which has detailed instructions. Very easy to use)

说明：  运动目标识别，采用背景差分方法。背景图像由均值法获得。里面的视频换成前几帧换成纯背景效果能更好一点(Moving target identification, using the background difference method. Background image obtained from the mean. Which replaced the previous video frame replaced by pure background a little better results)

实现retinex中的msr，关于雾天图像处理。(Msr in achieving retinex，Image processing on the fog)

将RGB格式的图片进行mosaic处理得到RawData格式的图片，然后再恢复成RGB格式彩色图片,laroche-CFA插值算法(turn an RGB picture to RawData picture，then recover the RawData picture to an RGB picture.it is called laroche-CFA.)

详细介绍了常用的四中粒子重采样算法,并给出了他们的性能比较,对研究改进型粒子算法很有帮助,减轻很多工作负担(Details of the four commonly used particle resampling algorithm, and gives the performance of their comparison, the study of modified particle algorithm useful to reduce the burden of a lot of work)

说明：  最大熵双阈值分割算法，基于遗传算法优化的快速最大熵双阈值分割算法。(Maximum Entropy Double Threshold Segmentation and Fast Maximum Entropy Double Threshold Segmentation Based on Genetic Algorithms.)