Search - Radius point

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[Software Engineering] lysnake DL : 0: 提出了一种自适应的Snake 算法,对于初始包络上的每一点,按照Greedy 算法中的能量公式计算其邻域内各点的能量. 如果邻域不包含目标的轮廓,则将邻域半径加大,再次计算邻域内各点的能量,直到邻域内包含轮廓点为止. 该算法只需迭代一次即可得到目标轮廓,而且增大了初始包络的收敛半径,并能够有效处理较高曲率凸形边缘的情况. 对比实验说明了这种方法的有效性.-Snake proposed an adaptive algorithm, the initial envelope for each point on, in accordance with the Greedy algorithm in the energy formula of the neighborhood points of energy. If the neighborhood does not contain the target contour, the radius will be neighborhood increased, again the neighborhood of the points of energy, until the neighborhood of the contour points so far included. The algorithm only one iteration object contours can be obtained, but also increases the initial envelope radius of convergence, and can more effectively deal with convex edge of the case of high curvature. comparative experiments illustrate the effectiveness of this approach.
Date : 2025-12-31 Size : 153kb User : 罗朝辉
[Software Engineering] 5346363636 DL : 0: ：针对粒子群算法进行多极点函数优化时存在的局部极小点和搜寻效率低的问题，引入了小生境的思想到粒子群算法中，以粒子的最好位置为中心，粒子的最好的个体解对应的适应值为半径建立圆形小生境。stretching 技术，其次对子群体采用解散策略，即当在子群体中找到一个极值点后把子群体解散回归主群体，最后设置子群体创建时的半径阈值，避免子群体半径过大。该算法解决了标准的NichePS0算法在处理多峰函数时，极值点的个数依赖于子群体个数及极值点容易出现重复、遗漏等问题。对3个常用的基本测试函数的实验表明，新算法(SNPsO)在多峰函数寻优中解的稳定性、收敛性和覆盖率均优于标准 NichePS0。-Niching PSO algorithm to deal with complex multimodal function optimization problems exist some defects, asked the the an improved the niche sNPsO algorithm. sNPSO algorithm introduced in which the order of the niche ideas stretching technology is the first application in the main group, the dissolution of the strategy followed by the sub-groups, find an extreme point in the sub-groups after the handle the groups dissolution regression main groups, the final set radius threshold value, the creation of the subset populations avoid subpopulations radius is too large. The algorithm to solve the standard NichePS0 algorithm multimodal function, the number of extreme points depends on the number of sub-groups and the extreme points prone repeat omissions. 3 basic test function experiments show that the new algorithm (SNPsO) in multimodal function optimization solution stability, convergence and coverage are better than standard NichePS0.
Date : 2025-12-31 Size : 163kb User : zhuifenger
[Software Engineering] Matlab DL : 0: 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
Date : 2025-12-31 Size : 4.36mb User : 廖志伟
[Software Engineering] UAV-cooperative-search DL : 0: 多无人机覆盖搜索是无人机的一项主要任务，将搜索区域进行分割后，每个子区域内成为单机覆盖搜索问题，大大降低了任务难度．对无人机的平行搜索策略进行了详细的分析，针对平行搜索策略给出了搜索起始点、转弯关键点、搜索终点的判断依据，使得区域覆盖率达到100％．分析了最小转弯半径对搜索路径的影响-More search UAV coverage is a major task UAV, after the search area is divided, within each sub-region a single search covering problems and greatly reduce the difficulty of the task. UAV parallel search strategy a detailed analysis for parallel search strategy given the starting point of the search, the key turning point, the end point of the search is determined on the basis of such regional coverage to 100 . The influence of minimum turning radius of the search path
Date : 2025-12-31 Size : 426kb User : 宋晶