A genetic approach to edge detection

Laura Caponetti, N. Abbattista, Gerardo Carapella

2002 · 22 citations · 6 references

Concepts

Abstract

We propose to use optimization techniques known as genetic algorithms in the searching of the optimal edge configuration. An objective function is supplied which assigns a fitness value to each edge configuration. Fitness represents the ability of an individual to survive and reproduce; in our case it is evaluated on the basis of the local nature of the edges.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

References

6