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分水岭算法——“汇水盆地”的确定 搜索局部最大种子点,设置阈值标志和阈值-watershed algorithm -- "catchment basin" to determine the best local search seeds, setting the threshold value and a threshold
Date : 2008-10-13 Size : 1.91kb User : zsc

分水岭算法——“汇水盆地”的确定 搜索局部最大种子点,设置阈值标志和阈值-watershed algorithm-- "catchment basin" to determine the best local search seeds, setting the threshold value and a threshold
Date : 2026-01-02 Size : 2kb User : zsc

针对多椭圆检测问题提出了一种快速随机检测算法。该算法利用在图像中随机采样到的一个边缘点和 局部搜索到的两个边缘点以及这三个点的邻域信息确定候选椭圆,再将候选椭圆变换为对应圆,通过确认真圆来确 认真椭圆。在确定候选椭圆时,最大限度地减少随机采样点数‰ 剔除更多的非椭圆点,降低了无效采样,减少了无效 计算。数值实验结果表明:该算法具有良好的鲁棒性,其检测速度比同类算法快-Ellipse detection problem for many a fast random detection algorithm. The algorithm uses random sampling in the image of an edge point and the local search to the two edge points, as well as the three-point neighborhood information to determine the candidate ellipse, and then transformed into the corresponding elliptical candidate won, through the identification of real yen to confirm really elliptical. In determining when a candidate ellipse, to minimize random sampling points ‰ remove more non-oval points, reducing invalid sampling, to reduce the calculation invalid. Numerical experimental results show that: the algorithm has good robustness, and its detection faster than similar algorithms quickly
Date : 2026-01-02 Size : 514kb User : 刘镖峰

所上传文件包包括6种vc++源代码:使用opencv的实现可视图的静态路径规划;简单的svm算法;基于vc2008的图像匹配(多工程结构);基于局部搜索的K-means聚类算法;三维匹配中的ICP算法;视觉tracking中的condensation算法-Upload file package, including the six kinds of vc++ source code: using opencv to view the realization of the static path planning svm simple algorithm vc2008-based image matching (multi-project structure) local search based on the K-means clustering algorithm three-dimensional matching of the ICP algorithm visual tracking of the condensation algorithm
Date : 2026-01-02 Size : 19.74mb User : zhezhe

一维搜索0.618黄金分割点算法,只适用于单峰函数的局部搜索。经过编译。-One-dimension search algorithm, Gold segmentation algorithm .It applies only to the local search of single-peak function.
Date : 2026-01-02 Size : 1kb User : ling

某些实际问题的优化目标是求所有的局部最优解, 即求解多峰寻优问题, 为了求解多峰优化问题, 提出了改造的微粒 群优化算法. 尽量减少微粒群算法中的全局因素, 从而增大其局部因素, 同时采用变步长方法增加微粒的多样性. 并给出了该算法 的原理和步骤. 仿真实验表明该算法概念清楚, 计算简单, 具有很好的局部寻优特性, 可应用求解于多峰寻优问题. 另外还给出了几 个运算实例和与其它优化算法的比较.-Some of the practical problems the optimization goal is to get all the local optimal solution, that is, solving the multimodal optimization problem, in order to solve the multimodal optimization problem, a modified particle swarm optimization algorithm. PSO algorithm to minimize the global factors thereby increasing the local factors, while increased use of variable step method for the diversity of particles. and gives the principles and steps of the algorithm. Simulation results show that the algorithm is the concept of clear, simple calculation, with good local search features can be applied to solve the multimodal optimization problem. It also gives examples of several operations and with other optimization algorithms.
Date : 2026-01-02 Size : 305kb User :

为寻求复杂多峰函数的全局最优解问题, 提出了新型混合算法。该算法由带共享函数 的遗传算法、移民技术、聚类算法和改进的Pow ell 算法组成。由于上述算法的有机配合, 提高了 混合算法的全局和局部搜索能力。油藏系统应用实例和仿真实例证明了算法的有效性-Complex multimodal function to find a global optimal solution of problem, a new hybrid algorithm. The algorithm functions by a genetic algorithm with sharing, migration technology, clustering algorithm and the improved algorithm is composed of Pow ell. As the organic with the above algorithm, a hybrid algorithm to improve the global and local search capabilities. Reservoir system application examples and simulation results demonstrate the effectiveness of the algorithm
Date : 2026-01-02 Size : 338kb User :

本文研究了多峰优化问题, 利用梯度算子和筛选策略, 得到了一种可求解多峰函数 全部最优解的改进型遗传算法. 数值模拟结果表明, 该算法在处理复杂多峰函数优化问题时, 局 部搜索能力和克服过早收敛能力方面相对于传统遗传算法均有很大提高.-In this paper, multimodal optimization problems, the use of gradient operator and screening strategies can be solved by a multi-modal function all improved genetic algorithm for optimal solution. Numerical simulation results show that the algorithm in dealing with complex multi-modal function optimization problem , the local search ability and capacity to overcome the premature convergence of genetic algorithms are compared with the traditional greatly improved.
Date : 2026-01-02 Size : 155kb User :

进行对非局部均值算法的详细讨论包括权值的计算,均值的实现以及对于搜索窗口的讨论-Detailed discussion of the non-local means algorithm including the calculation of the weights, the realization of the mean and the discussion of the search window
Date : 2026-01-02 Size : 1kb User : wuyuezhen

Proposed edge detection method based on bee colony algorithm. Utilization Characteristics colony algorithm for image boundary quick search, too To a group of local optima, and then were local minima to start the search, to find the edge of the image points of the object, all the bees to find the boundary point The union is the image edges. Simulation results show that the algorithm is feasible and effective.-Proposed edge detection method based on bee colony algorithm. Utilization Characteristics colony algorithm for image boundary quick search, too To a group of local optima, and then were local minima to start the search, to find the edge of the image points of the object, all the bees to find the boundary point The union is the image edges. Simulation results show that the algorithm is feasible and effective.
Date : 2026-01-02 Size : 240kb User : 王飞
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