搜索资源列表
Image-feature-extraction
- 一种改进的基于蚁群算法的图像边缘检测文献，前沿论文-ant colony system,matlab
yiqunsuanfa-
- 改进的蚁群算法 用于提取轮廓 可以和sobel等传统算法比较 有较好的性能 本人已经运行过-Improved ant colony algorithm for extracting contours and sobel traditional algorithm I have run a better performance
edge_ACO
- 基于蚁群算法的改进进行边缘检测，改方法可行，并且速度快，与传统算法进行比较。-Based on improved ant colony algorithm for edge detection, change the method is feasible, and fast, with traditional algorithms were compared.
cguster
- 蚁群算法的另一种实现形式,通过全局的搜索,避免陷入局部解的改进程序-Another realization forms of the ant colony algorithm, through global search, avoid falling into local solution of the improvement program
edge_ACO
- 通过改进算法，运用改进型蚁群算法，进而分割图像，获得分割后图像-By improving the algorithm, the improved ant colony algorithm is used to segment the image
zrbd
- 用改进蚁群算法求解一类连续空间优化问题的matlab实现-With improved ant colony algorithm to solve a class of continuous space optimization problems of matlab
mptbab__class
- 用改进蚁群算法求解一类连续空间优化问题的matlab实现-With improved ant colony algorithm to solve a class of continuous space optimization problems of matlab
87361016GA-BP
- 通过蚁群算法改进bp神经网络,有利于学习(The improvement of BP neural network by ant colony algorithm is beneficial to learning.)
基于蚁群算法的图像边缘检测
- 将改进蚁群算法应用于图像边缘检测，模拟进化算法,主要采用信息素来进行方向的选择,通过全局性的搜索得到较优解。(The improved ant colony algorithm is applied to image edge detection and simulation evolutionary algorithm, which mainly uses information prime to select the direction, and the better solution is