PF

说明：  在matlab平台下，对一个文件夹下的图片自动改名，可用于大批量图片重命名问题，方便实用(Matlab platform, the picture on a folder automatically renamed, large quantities of images can be used to rename the problem, convenient and practical)

说明：  粒子群车辆路径规划，在二维环境下进行车辆的路径规划。(Particle swarm optimization (PSO) vehicle path planning is used for vehicle path planning in two-dimensional environment.)

获取系统进程信息源码，程序结合易语言模块斩月_图像相关模块.ec，调用API函数实现屏幕差异传输。(Get system processes information source , combined with easy language module program _ Zangetsu image correlation module .ec, call the API function screen difference transmission .)

编译好的tesseract 4.0库 for VS2015 (含lib、dll和头文件)，另附一个tessreact 4.0进行图片识别的示例程序，并给出运行具体配置方法！

说明：  维纳滤波 最小二乘方 Lucy richardson图像复原 盲去卷积复原 图像复原法的综合比较(Wiener filtering least squares Lucy richardson image restoration blind deconvolution image restoration method to recover a comprehensive comparison)

一种基于CDD的图像修复算法，效果还不错，做图像修复的可以好好看看，还有论文哦 (Based CDD image restoration algorithm, the results were pretty good, do image restoration can be a good look, there are papers Oh)

用atrous小波变换与EMD算法相结合的图像融合(Combination of image fusion with atrous wavelet transform and EMD algorithm)

实现对无噪声一维和二维信号的解缠，比较简单，入门级别(The realization of noise free one-dimensional and two-dimensional signal unwrapping is relatively simple, entry level.)

一款操作色谱、光谱图的程序，功能非常全面。包括谱峰的识别、积分，谱的叠加。(An operating chromatographic spectrum program, very comprehensive. Including the identification of the peak spectrum, integral, superposition.)

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.)