pics_match

图像金字塔分解，输入一幅图像，以及需要分解的层数，可以输出图像的金字塔分解(Image pyramid decomposition)

通过多分辨率分解，实现红外图像的增强，改善图像的对比度(Through a multi-resolution decomposition, to achieve enhanced infrared image)

图像配准程序，包括角点提取，配对，提纯等操作(image registeration ,including connor detection,match and so on)

graphcut的最新改进，在网格上应用graphcut，作者将其称为gridCut,此压缩包内含文章与源代码，出自CVPR2012,关注计算机视觉的同学可以详细参考，代码已调试通过(the new advance of graphcut, named gridCut, derived from CVPR 2012, useful to guys on ComputerVision.The code is runnable.)

图象特征的边缘轮廓提取算法，对初学者很有帮助。(characteristics of the image edge contour extraction algorithm, useful for beginners.)

压缩包展示了对含高斯噪声和椒盐噪声图片去噪处理的基本去噪演示，包括均值滤波、中值滤波、维纳滤波、小波滤波。希望可以对初学的朋友有所帮助。(Basic denoising with Gaussian noise and salt and pepper noise image denoising demo, including mean filter, median filtering, Wiener filtering, wavelet filter)

国外网上找的自适应阈值分割的源程序，测试过，好用。 可以下载(abroad to find online adaptive thresholding segmentation of the source, tested and ease of use. Can be downloaded s)

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.)

虹膜识别的完整程序，有图片，有说明，可以用(The integrity of the iris recognition process, there are pictures, there are shows that can be used)

维纳滤波与盲卷积算法代码，用于图像处理去燥 清晰化处理，自带图像还有附录讲解(Wiener filter and blind convolution algorithm code for image processing to dry clear processing, comes with the image there are appendix to explain)