Matching-neighborhood-difference-

实现图像的平移 可实现左移 右移 并根据需要改变参数(Image translation)

说明：  MATLAB 给图像添加各种噪声：如椒盐噪声，高斯噪声、乘性噪声等等。(MATLAB add all kinds of noise to the image: If salt and pepper noise, Gaussian noise, multiplicative noise and so on.)

Visual C++MATLAB图像处理与识别实用案例精选之　图像中值滤波　算法的源程序，含标准测试图片(Visual C MATLAB image processing and recognition practical case Featured's image filtering operator Law of the source, including standard tests Photo)

细胞核分割计数，通过大津法阈值分割图像后，进行腐蚀以及膨胀等操作处理图像，标记连通区域来计数(Threshold segmentation count of nuclear image)

LBP算子的实现源代码，可以根据LBP算子来对2张图片的相似度进行比较，值越小，图像越相似。(LBP operator realization of the source code, you can compare LBP operator to the similarity of the two pictures, the smaller the value, the more similar the image.)

这是图象处理模式识别一书的源代码，包括C++和MATLAB的程序，对于做这方面的研究人员来说，会很有帮助的。(This is an image processing pattern recognition on the source code, including C and Matlab procedures for doing this kind of research personnel, will be very helpful.)

本程序集合了互信息配准，PV差值，powell算法，基于小波变换的图像融合的一整套算法。只需要在GUI界面输入两幅图像，即可自动完成图像的配准融合。程序包含Matlab源代码。用Matlab打开imagefusion.m，即会弹出gui界面。融合前要输入参考和浮动图像。图像要求像素的 长＊宽 一样。否则会报错。程序只能处理灰度图像，彩色图像也会转化成灰度图像处理。程序代码已经有详细的注释，方便读者理解。(The procedures set of mutual information, PV difference, powell algorithm, based on wavelet transform image fusion set of algorithms. Only need to enter the two images in the GUI interface, you can automatically complete the image registration fusion. Program contains Matlab source code. Using Matlab open imagefusion.m, gui interface will pop up. Fusion before the input reference and floating images. Image requires the same pixel length* width. Otherwise incorrect. Can only handle grayscale images, color images into gray image processing also. Program code has detailed notes, to facilitate understanding.)

本文件为一个可以实现自适应滤波算法的函数。在去噪等方面有这较好应用。(This document is an adaptive filtering algorithms to achieve the function. This application has a good de-noising and so on.)

多目标跟踪算法（3D），针对三维多目标进行跟踪，程序完整，易懂。(The multi-target tracking algorithm (3D), for the three-dimensional multi-target tracking, the program is complete, understandable.)

这个算法包实现了从多幅拥有共同结构的图像里提取出共同形状的骨架。( This package implements the algorithm for Sketching the Common as described in: Shai Bagon, Or Brostovsky, Meirav Galun and Michal Irani "Detecting and Sketching the Common", CVPR 2010)