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视觉注意机制一种新型的目标检测方法，该文给出了一种比较有效的处理策略(Visual attention mechanism to target a new detection method, the paper gives a more effective treatment strategies)

区域语义多样性密度的图像标注。图像标注的好论文。(Image region annotation semantic diversity density. Image annotation good paper. )

采用matlab，代码经过修改，可以去除阴影，但还不能在实际应用中用，不过有一定的参考价值(Using matlab, the code has been modified to remove the shadow, but it can not be used in the actual application, but there is a certain reference value)

压缩感知的快速Laplace恢复算法,算法适用于超完备字典(the Beyes recovery algorithms are similar to the sparse coding based on the over-complete dictionary. )

考虑雨衰 阴影 和多径影响，可直接计算得到多重分形谱,非归零型差分相位调制信号建模与仿真分析 。( Consider shadow rain attenuation and multipath effects It can be directly calculated multi-fractal spectrum, NRZ type differential phase modulation signal modeling and simulation analysis.)

说明：  在VC++下基于MRF来进行的图像分割源代码(In VC++ For MRF-based image segmentation source code)

医学图像配准，医学图像2D_3D配准，基于vc++开发。(The registration of pre-operative volumetric datasets to intra-operative two-dimensional images provides an im- provedway of verifying patient positionandmedical instru- ment location. In applications from orthopedics to neuro- surgery, it has a great value in maintaining up-to-date in- formation about changes due to intervention. We propose a mutual information-based registration algorithm which es- tablishes the proper alignment via a stochastic gradient as- centstrategy. Ourmaincontributionliesinestimatingprob- ability density measures of image intensities with a sparse histogrammingmethodwhichcouldlead to potentialspeed- up over existing registration procedures and deriving the gradient estimates required by the maximization procedure. Experimental results are presented on fluoroscopy and CT datasets of a real skull, and on a CT-derived dataset of a real skull, a plastic skull and a plastic lumbar spine seg- ment.)

说明：  有四个M文件，可以用于图像处理中的图像细化，有较好的效果(There are four M documents, can be used for image processing of image thinning, there are good results)

Matlab图像处理教程简易教程 - /1、图像的读取和显示 /2、图像的点运算 /3、图像的几何变换 /4、空间域图像增强 /5、频率域图像增强 /6、彩色图像(Matlab image processing tutorial Easy Tutorial-/1, read and display image/2 image point operations/3, the image of geometric transformation/4 spatial domain image enhancement/5, the frequency domain image enhancement/6 color image)

通过高斯核密度估计计算多元变量之间的互信息熵(The mutual information entropy between multivariate variables is calculated by Gaussian kernel density estimation)