Name
Title | ||
|---|---|---|
Optimised template matching techniques in parallel environment with exhaustive search and swarm intelligence |
Abstract | ||
|---|---|---|
Template Matching (TM) techniques are widely used for recognition and location of objects in image and signal processing applications. The existing techniques such as cross, zero and normalised cross-correlations for TM are time consuming. This paper proposes parallel algorithms for TM problems using Normalised Cross Correlation and Particle Swarm Optimisation (PSO) to suit real-time applications. Experimental results show that parallel version of PSO is comparatively efficient. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1080/17445760.2013.844235 | International Journal of Parallel, Emergent and Distributed Systems |
Keywords | Field | DocType |
template matching | Particle swarm optimization,Template matching,Cross-correlation,Signal processing,Brute-force search,Computer science,Parallel algorithm,Swarm intelligence,Algorithm,Artificial intelligence,Distributed computing | Journal |
Volume | Issue | ISSN |
30 | 2 | 1744-5760 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Sridevi | 1 | 16 | 5.07 |
| C. Mala | 2 | 25 | 9.19 |
| Siddhant Sanyam | 3 | 0 | 0.34 |