open-file

发表于ECCV上的一篇用于人脸识别的算法，Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary (At ECCV on an algorithm for face recognition, Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary)

模糊核聚类算法的几篇文章还有其matlab的几个程序(Fuzzy kernel clustering algorithm several articles Matlab program)

实现一个信号的WVD变换，针对的信号是非平稳的随机信号(To achieve a WVD transformation of a signal, the signal is a non-stationary random signal.)

h264实现监控,不是动态的，是通过读取每一帧图像(h264 yuv420 to rgb)

SIFT特征提取 http://www.opencvchina.com/forum.php?mod=viewthread&tid=209&fromuid=267 (SIFT feature extraction http://www.opencvchina.com/forum.php?mod=viewthread& tid=209& fromuid=267)

此算法用于对图片进行光照补偿，并对补偿前后的图片进行对比。(This algorithm is used for illumination compensation, and compensation before and after pictures comparing picture.)

逆合成孔径雷达中的运动补偿算法.具有高效率,高分辨率的特点.(inverse synthetic aperture radar of motion compensation algorithm. With high efficiency, high-resolution characteristics.)

传统的图像分割方法可以分为基于阈值、边缘、区域的方法等，而传统的分割方法在复杂图像分割中效果不好。为了提高图像分割的性能，我们提出了一种基于局部自适应窗口的Otsu方法。首先，分析了传统阈值法在复杂图像分割中不能很好地形成的原因，比较了全局阈值和局部阈值对图像分割的影响。其次，提出了根据局部信息自适应地改变局部窗口大小的方法，分析了该方法的特点。最后，证明了所提出的新方法优于其他方法。实验结果表明，与其他传统方法相比，该方法能保持更多的细节，获得更满意的结果。(The traditional image segmentation methods can be divided into thresholding, edge and region methods. The traditional segmentation methods do not perform well in the segmentation of complicated images. In order to improve the performance of image segmentation, we propose an adaptive windowed range-constrained Otsu method based on local information.First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Secondly, a method of adaptively changing the local window size based on local information is proposed, and the characteristics of the proposed method are analyzed. Finally, the superiority of the proposed method over other methods, It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying results as compared with the other conventional methods.)

INSAR相位解缠绕程序，matlab编的(INSAR phase unwrapping procedures, matlab series)

matlab环境下，基于脉冲耦合神经网络（pcnn）的图像分割技术。(matlab environment, based on pulse coupled neural network (pcnn) Segmentation.)