Hybrid ant colony algorithm for texture classification
| Contribuinte(s) |
Sarker, Ruhul |
|---|---|
| Data(s) |
01/01/2003
|
| Resumo |
We present a novel ant colony algorithm integrating genetic algorithms and simplex algorithms. This method is able to not only speed up searching process for optimal solutions, but also improve the quality of the solutions. The proposed method is applied to set up a learning model for the "tuned" mask, which is used for texture classification. Experimental results on real world images and comparisons with genetic algorithms and genetic simplex algorithms are presented to illustrate the merit and feasibility of the proposed method. <br /> |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
IEEE Xplore |
| Relação |
http://dro.deakin.edu.au/eserv/DU:30005222/nahavandi-hybridantcolony-2003.pdf http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1299422&isnumber=28869 |
| Direitos |
2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Tipo |
Conference Paper |
