Title :
Multiple template detection using impulse restoration and discriminative filters
Author :
Mendonca, Andrea P. ; Da Silva, E.A.B.
Author_Institution :
Inst. Militar de Engenharia, PEE/COPPE/UFRJ, Rio de Janeiro, Brazil
Abstract :
Recently, Ben-Arie and Rao (1993) have proposed a linear filter that, given a template, maximises the energy concentration in a single sample of its output. A two-dimensional generalisation of this method has also been proposed, formulating template matching as a multivariable optimisation problem. In other work, template detection has been looked at as an impulse restoration problem, and closed-form solutions for it have been proposed. An extension that allows multiple template discrimination is proposed. Simulation results suggest that the proposed method is an effective tool for decision problems and can achieve performances only attainable with sophisticated nonlinear methods.
Keywords :
filtering theory; image matching; image restoration; decision problems; discriminative filters; impulse restoration; linear filter; multiple template detection; multivariable optimisation problem; template matching;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20030793