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