06257655

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.)

这里包含了多种图像倾斜角度矫正的方法 其中有huogh变换 radon变换 还有常规的线性检测角度 然后矫正它(This contains a variety of image angle correction method which huogh transform the linear radon transform routine testing point of view there and then correct it)

亚像素提取边缘源代码，可以进行准确的边缘检测(Subpixel edge source code)

基于matlab识别手势，可以识别石头，剪刀，布，进行猜拳判断输赢(Identify gestures, guessing and win)

基于小波阈值的去噪方法，可以通过改变不同的参数达到不同的效果。(Wavelet threshold de-noising method can achieve different effects by changing the different parameters.)

该文档是自适应信号处理研究的一篇研究生毕业论文，介绍了自适应的几种常见算法，如LMS，NLMS等等，并在最后有相关的MATLAB程序（LMS程序 自适应滤波器，陷波器，分离器等程序）可以作为自适应信号处理初学者的参考资料(This document is an adaptive signal processing graduate thesis introduces several common adaptive algorithms, such as LMS, NLMS, etc., and the final program has an associated MATLAB (LMS process adaptive filter, notch , splitters and other procedures) can be used as a reference adaptive signal processing information for beginners)

以实例列举了MATLAB中常用的图像处理函数的代码(Examples are given to illustrate the image processing functions commonly used in MATLAB code)

说明：  pso 粒子群优化算法演示程序，实现图形化界面。(PSO PSO algorithm demonstration program to achieve graphical interface.)

这是二维图像双边滤波的相关程序，具有保边去噪的效果，适合对图像进行处理。(This is the two-dimensional image bilateral filtering procedures, with the edge-preserving denoising effect, suitable for image processing.)

主要是利用对比增强来处理图像 利用了模糊集以及模糊熵理论 (The main use of contrast enhancement to the image processing using fuzzy sets and fuzzy entropy theory )