work

说明：  用matlab语言开发的图像平移程序，包含测试图片(Matlab language used to develop the image translation process, including test picture)

分层树分割算法的Matlab实现，除编码和解码外，还附有熵编码程序，供研究图像处理的朋友参考使用。(hierarchical tree segmentation algorithm Matlab, in addition to encoding and decoding, but also with entropy coding procedures, Image processing research for a friend use and reference.)

说明：  数学形态学对信号进行去噪，效果较好，信号扰动特征得到很好保留(Mathematical morphology to signal de-noising effect is better to be a good signal to retain the characteristics of disturbance)

FDK的C++代码,对于图像重建的人来说有用的哦(FDK s C++ code for image reconstruction for people who useful )

一个关于数据降维的工具包，外国牛人编写，囊括了各种降维方法，是一个很好的工具！(A tool for data reduction package, foreign cattle were written, include a variety of dimension reduction method is a good tool!)

说明：  灰图像三级小波分解，以lena图像为例。(Gray image 3 wavelet decomposition to lena image as an example.)

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.)

用kinect获取3D图像，并从3D图像中用OpenCV方法从深度图中获取梯度边缘，从而得到更多信息，做后续处理(Get with kinect 3D images, and get the edge gradient from the depth map from a 3D image using OpenCV method to obtain more information, do follow-up treatment)

图像复原代码以及例程，内容很丰富详细。针对于图像盲复原，估计模糊核k，得到复原的清晰图片(The image restoration code and routines are rich and detailed.)

matlab实现粒子滤波算法,对图像处理,定位,跟踪研究都有借鉴作用!(Matlab achieve particle filter for image processing, positioning and tracking studies have reference!)