low_pass45

说明：  NISwGSP stitching . 新一代的图像拼接(image stitching new. more powerful than apap)

This program is able obtain the cemtral point of a template in an image.The program gives 4 output images performing diferent kind of filtering, and giving the center of the matchig template.

该代码描述了一种用Gar小波进行纹理特征提取方法，可用于图像分析、视频处理、以及模式识别前期建立模式向量。(The code describes a texture with Gar wavelet feature extraction methods can be used for image analysis, video processing, and pattern recognition pre-established pattern vector.)

说明：  自组织神经网络SOM的算法，经过调试可以用(Self-organizing neural network SOM algorithm can be used after debugging)

双目立体匹配中获取图像对的视差图，可用于后续的三维重建工作。(Binocular stereo matching to get the image on the disparity map can be used for subsequent 3D reconstruction.)

Zhang等人 利用相位一致性信息的特性，提出了 特征相似性方法(FSIMG) ，选取了相位一致性信息和梯度信息 作为它的两个特征，得到了较好的结果。 (A novel feature similarity (FSIM) index for full reference IQA is proposed based on the fact that human visual system (HVS) understands an image mainly according to its low-level features. Specifically, the phase congruency (PC), which is a dimensionless measure of the significance of a local structure, is used as the primary feature in FSIM. Considering that PC is contrast invariant while the contrast information does affect HVS’ perception of image quality, the image gradient magnitude (GM) is employed as the secondary feature in FSIM. PC and GM play complementary roles in characterizing the image local quality. After obtaining the local quality map, we use PC again as a weighting function to derive a single quality score. Extensive experiments performed on six benchmark IQA s demonstrate that FSIM can achieve much higher consistency with the subjective uations than state-of-the-art IQA metrics.)

考虑混沌效应的粒子群算法，比常规粒子群更容易跳出局部解(optimization method of PSO, concerning the Chaos effect.)

Harris角点检测，关于角点的应用在图像处理上比较广泛，如图像匹配(FPM特征点匹配)、相机标定等。网上也有很多博客对Harris角点检测原理进行描述，但基本上只是描述了算法流程，而其中相关细节并未作出解释，这里我想对有些地方做出补充说明，正所谓知其然知其所以然，如有不对，还望指正。(Harris corner detection)

介绍Opencv这个图像处理库环境下的GMM建模与EM算法，从数学的角度深入分析高斯建模和EM算法(Introduce the the Opencv this image processing GMM modeling the EM algorithm in the library environment, in-depth analysis from a mathematical point of the Gaussian model and the EM algorithm)

hausdorff距离的一种改进算法，是我自己编写的，用于提取焦点之后的图像配准(hausdorff distance of an improved algorithm, which I have written for the extraction of the focus after the image registration)