Optimised template matching techniques in parallel environment with exhaustive search and swarm intelligence
M. Srıdevı, C. S. Mala, Siddhant Sanyam · International Journal of Parallel Emergent and Distributed Systems · 2013
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.