RKGHeM(4,4) technique with error control for connected component detector Online publication date: Wed, 29-Apr-2015
by S. Senthilkumar
International Journal of Applied Systemic Studies (IJASS), Vol. 4, No. 1/2, 2011
Abstract: The aim of this paper is focused on proposing a new versatile Runge-Kutta embedded fourth order four stage geometric heronian mean algorithm for simulating connected component detector (CCD) under cellular neural network (CNN) architecture. The mathematical expressions for local truncation error (LTE), global truncation error (GTE) and error estimates have been derived. Simulation results are presented for new RKGHeM(4,4) algorithm.
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