FIRST_temp

《精通Matlab6.5版》张志勇等编著，书本api相关的文件("proficient Matalab 6.5 version of the" Written by Zhang Zhiyong, books api relevant documents)

使用matlab编写遗传算法，解决车辆路径最优化问题。(VRp using GA methods)

SVM工具箱，可用于混合编程，需要按说明先对matlab进行相应的配置[farutoUltimateVersion1.0](SVM toolbox)

nonmaxsup——非最大值抑制 hysthresh——设定阈值区间，返回一个二值化图像 canny——边缘探测，图像边缘增强 adjgamma——调整图像的伽马值 findline——利用线性Hough变换和Canny边缘探测得到的线上各点的坐标 circlecoords——返回由圆的半径和圆心坐标决定的圆上各点像素的坐标 houghcircle——取一幅经过canny变换的图像，利用hough变换找到图像中的一个圆 findcircle——计算所得线上各点的坐标归纳出一个圆的半径和圆心，确定该圆的各点坐标 gaborconvolve——利用一维盖伯滤波器对图像进行处理 gethammingdistance ——返回两幅虹膜图像提取的特征码之间的海明距离 linecoords——返回一条线的上各点的x,y坐标值(nonmaxsup- non-maximum suppression hysthresh- set the threshold range, returns a binary image canny- edge detection, image edge enhancement adjgamma- adjust the image' s gamma value findline- linear Hough transform and Canny edge detection get the coordinates of each point circlecoords online- Returns coordinate houghcircle on the circle of the radius and center coordinates of the points decision pixels- After taking a picture canny transformation, using hough transform to find the image of a circle findcircle- the calculated coordinates of each point line summed up a circle of radius and center, to determine the coordinates of each point of the circle gaborconvolve- using a 维盖伯 filter for image processing gethammingdistance- returns two iris images extracted linecoords Hamming distance between the signature- a return line to the points on the x, y coordinate values)

各种有用的建模，对于学命令流编程的十分有用(ANSYS modeling)

计算功率谱（或互谱）的matlab子程序(Calculate the power spectrum)

该法是经过改进的基于象素匹配的方法并且还含有图片,对进行景象匹配的朋友有所帮助(The Act are improved pixel-based matching method and also contains a picture of the scene matching to help a friend)

unit converter in matlab

matlab代码，可以提取图像的深度信息，包含测试图片(Matlab code, you can extract the image depth information, including test images)

说明：  提出一种受灰狼（Canis lupus）启发的新的元启发式方法，称为灰狼优化器（GWO）。 GWO算法模仿自然界中灰狼的领导等级和狩猎机制。(This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature.)