A new method for edge detection

A hybrid genetic quantum algorithm (GQA) is proposed for edge detection. GQA is based on the concept and principles of quantum computing such as qubits and superposition of states. By adopting qubit chromosome, GQA can represent a linear superposition of solutions due to its probabilistic representation. Thus, GQA has a better characteristic of diversity and better global search capability than classical approaches. We combine GQA and the local search technique to the problem of edge detection. Experiment results show that the algorithm perform well in terms of quality of the final edge image, rate of convergence and robustness to noise.