SANBAN

光流（运动估计）经典算法Horn and Schunck算法MATLAB程序(optical flow (Motion Estimation) classical algorithm Horn and Schunck algorithm MATLAB)

说明：  基于Robert算子、Sobel算子、Prewitt算子、Log算子、Canny算子的边缘检测代码(Edge detection code based on Robert operator, Sobel operator, Prewitt operator, LOG operator and Canny operator)

用surf和ransac实现两幅图像配准(Registration of two images with surf and RANSAC)

DPM作者获得 2010年CVPR终生成就奖，DPM是在HOG的基础上进行改进，解决了HOG算子的不足，并且对SVM也进行了小幅度改善提出了LSVM这个概念(DPM is improved on the basis of HOG. It solves the shortcomings of HOG operator, and makes a small improvement on SVM. The concept of LSVM is proposed)

对两帧图像进行ICM调试.包含内容：1估计姿态和摄像机内参数；2两幅图做四次金字塔；3利用输入特征点采用ransac算法估计姿态R, T。4sift特征匹配；5摄像机标定。(ICM images on two debugging. Contains: 1 Estimated posture and intrinsic parameters 2 two plans to do four pyramids 3 using the input feature points using ransac algorithm estimates gesture R, T. 4sift feature matching 5 camera calibration.)

介绍了混合高斯背景建模法提取运动目标的过程，自己写的，比较好理解，付视频一个，用自己的视频也可以(Describes the process of Gaussian mixture background modeling method to extract moving target, write your own, is better understood, paid a video, you can use your own videos)

用所写算子进行边缘检测，对matlab自身图片进行分析，其中的suanzi.m是自定义的边缘检测算子(operator with written for edge detection, right Matlab own photo analysis suanzi.m which is the definition of edge detection operator)

一种可适用于复杂光照环境的低照度图像增强算法，即基于内容感知的自适应对比度提高的增强算法。引入了改进的伽马矫正，可以根据低照度图像的明暗程度自适应的对图像进行预处理。在实验过程中还发现，虽然改进算法有效避免引入大量噪声，但仍有少量噪声存在，为了达到更好的视觉效果，利用改进的双边滤波对增强的图像进行处理，获得最后的增强图像。实验效果显示，该算法可对低照度图像实现理想的增强效果。(A can be applied to complex light environment of low illumination image enhancement algorithm, which based on the content of perception adaptive contrast enhancement algorithm. Introduced the improvement of gamma correction, can according to the low illumination image of light and shade degree adaptive to image preprocessing. In the process of experiment also found that although the improved algorithm effectively avoid introducing a lot of noise, but there still have a small amount of noise, in order to achieve better visual effect, use of improved bilateral filtering to enhance the image processing, finally enhance image. The experimental results showed that the algorithm can achieve a low illumination image enhancement effect. )

说明：  利用matlab进行插值法亚像素边缘检测，提取零件轮廓(Subpixel edge contour extraction)

Itti的经典视觉显著性模型的matlab代码，可以直接运行，验证过后就可以下载了。(Itti vision matlab codes)