Abstract
Threshold setting is an important part of image edge detection, and directly affect the edge detection result. This paper proposes a threshold search scheme based on genetic algorithm, the secondary search optimization of the improved genetic algorithm is divided into two times to seek the global optimal solution, namely using the results of the search for solution for the first time to determine the second optimization selection of initial population, as a result of the optimization may be given for the first time is not necessarily the global optimal solution, but it certainly is a good result, the optimization process will be the second time, the initial population of restrictions in a neighborhood of the search results for the first time. The simulation results proved the advantage of the proposed algorithm.
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