images

关于图像融合的工具箱，从国外网站上找到的，很好用，可以作为对比实验时使用。包含一些需要处理的源图像。(On image fusion toolbox, from abroad to find the site, very good, and can be used as a comparative experiment. Contains a number of source images need to be addressed.)

摄像头调用，并用摄像头拍照，再对照片进行处理(matlab Camera call)

相位接包裹程序，可以对相位进行展开，简单，展开速度快(Phase then wrapped procedures can start phase, simple, fast start)

说明：  人脸识别提出的LBP特征计算程序，简单实用的特征，可以得到统计的直方图特征(LBP features of face recognition proposed by the calculation procedure, simple and practical features of the histogram statistics can be characteristic of)

在mmatlab中将多波段的遥感图像（三维矩阵数据）转换成二维数据，与求邻域(convert the 3D image data into the 2D data in the matlab)

该文件夹包括代码及其对应的论文。其作用在于模拟人类视觉系统的生理特性--视觉注意机制，按照人眼观察外界的方式，检测视觉显著性物体和区域，并阐述了显著性区域的显著性密度和尺度之间的关系，可应用于生物视觉模拟、视觉目标检测、视觉目标跟踪、视觉智能监控，以及视觉生理学和视觉心理学等的研究中。(This document contains codes and the corresponding paper. The aim is to simulate a physiological characteristic of human visual system called visual attention mechanism. The code is used to detect salient objects or regions following the way human eye observes the world. The relation between density and scale of salient object/region is described. It has found widespread use in numerous applications such as biological vision simulation, visual object detection, visual object tracking, visual intelligent surveillance, visual physiological, and visual psychology.)

关于马尔科夫随机场的分割matlab代码(On the Markov random field segmentation matlab code)

此程序采用vc++6.0编写,可以实现4路视频采集,压缩以及编码(编码算法包括mpeg2),采用的采集卡是天敏vc4000,利用回调函数作为采集的主要手段 另外提供网络传输的服务端程序(This program uses a vc + +6.0 preparation, can achieve 4-channel video capture, compression and encoding (encoding algorithm including mpeg2), using capture card is Mortimer vc4000, use the callback function as the primary means of collection additionally provides end network transport services program)

使用python语言实现多张图像的拼接，并且处理拼接之后的裂缝和黑边。(Use python language to achieve splicing of multiple images, and deal with cracks and black edges after splicing.)

稀疏自适应匹配追踪算法，无需稀疏度，就可以重构原始信号。(Sparse adaptive matching pursuit algorithm, without sparsity, we can reconstruct the original signal.)