Connected component detector using Dormand and Prince algorithm

S. Senthilkumar · International Journal of Information and Communication Technology · 2011

This paper deals with solving system of non-linear differential equation of cellular neural networks (CNNs) using different single-step numerical integration algorithms for connected component detector (CCD) along with bifurcation behaviour. Also, a simple cloning template for CNN is employed to detect the number of connected components of a vector in {+1, −1}N. Simulation results demonstrate that sixth order Dormand and Prince algorithm outperforms well in real time processing.

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