unmixpro

mean-shift跟踪算法中核窗口大小的自动选区(mean-shift tracking algorithm in the size of the nuclear window automatically constituency)

维纳滤波法去除加有高斯噪声、椒盐噪声、乘性噪声(Wiener filter method to remove the addition of Gaussian noise, salt and pepper noise, multiplicative noise)

SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强，可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题，甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力。该算法目前外文资料较多，但中文方面的介绍较少.(SIFT feature matching algorithm is at home and abroad feature points matching hot area of ​ ​ research and difficulties in its matching capability that can handle between the two images, translation, rotation, the matching problem in the case of affine transformation, and even to some extent have a relatively stable feature of the ability to match images taken on any angle. The algorithm is more foreign materials, but the Chinese introduction less.)

说明：  随机森林的行人检测。针对视频和图像中快速、准确的行人检测问题,提出了一种分层次的、全局信息和局部信息相结合的行人检测算法。该方法以随机森林分类器为基础。(Pedestrian detection based on random forest)

方向梯度直方图的全部代码，广泛应用于行人检测行人检测(Histogram of Oriented Gradients code Pedestrian Detection)

1、读取显示所给PET图像（SE2IM210）。 2、学习imhist函数，画出所给PET图像的直方图。 3、根据直方图为该PET图像选择合适的显示窗（imshow参数），使胸 部轮廓等解剖结构可见。 4、根据直方图选择合适阈值，分割肿瘤区域与正常区域，计算肿瘤区 域内图像灰度均值、方差、最大值及最小值。(1 give PET images displayed, read (SE2 IM210). 2, learning, imhist function, draw the give PET image histogram. 3, according to the histogram for the PET image to choose the appropriate display window (imshow parameters), make bosom Outline of anatomical structures such as visible. 4, according to the histogram, choose appropriate threshold segmentation tumor area and normal area, calculating the tumor area In the domain of image grayscale average and variance, the maximum and minimum values.)

相位编组提取长直线的强弱文理，用于灰度图像明显的图像的处理(Marshalling phase extraction strength ARTS long straight, clear images for grayscale image processing)

FEM表面网格配准工具箱，通过计算最优仿射变形参数得到点云的配准。(FEM surface grid alignment toolbox, by calculating the optimal affine deformation parameters of the point cloud registration.)

本文件用matlab 语言，对kalman滤波的方法进行仿真，画出来原始曲线，观察值，和跟踪曲线，会对初学者有很大的帮助！(this document using Matlab language, Kalman filtering method simulation, sketching out the original curve, observed values, and tracking curve, beginners will be of great help!)

区域邻接图的合并规则，在进行区域合并时可以使用，希望对大家有用(region merging for region adjecent gragh，might it be help for you.)