DocumentCode :
2344369
Title :
A method of image recognition based on improvement ant colony algorithm
Author :
Sun, Baoshan ; Wan, Zhenkai
Author_Institution :
Sch. of Comput. Technol. & Autom., Tianjin Polytech. Univ., Tianjin
fYear :
2009
fDate :
25-27 May 2009
Firstpage :
3737
Lastpage :
3740
Abstract :
This article proposed one kind of improvement ant colony algorithm, has realized to the manipulator platform in the work piece image recognition function. Using the ant colony algorithm in the ant population´s diversification, strengthened the search ergodicity, thus changes seeks to the most superior match result. In the improvement algorithm simulates the annealing thought integration to be more advantageous with the partial parameter auto-adapted adjustment in the iterative earlier period searches the optimal solution, later period sped up the convergence rate, reduced the optimization time.
Keywords :
convergence of numerical methods; image recognition; iterative methods; manipulators; robot vision; search problems; simulated annealing; ant population diversification; convergence rate; image recognition method; improvement ant colony algorithm; iterative method; manipulator platform; partial parameter auto-adapted adjustment; search ergodicity; simulated annealing; Ant colony optimization; Automation; Concrete; DH-HEMTs; Displays; Image recognition; Iterative algorithms; Probability; Simulated annealing; Sun; Ant colony; algorithm; image; search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
Type :
conf
DOI :
10.1109/ICIEA.2009.5138901
Filename :
5138901
Link To Document :
بازگشت