抄録
This paper studies an application of geometric primitives extracting methods by genetic algorithm (GA) to detection of road sign boards from scene image. We attempted to simultaneously find out the primitives using newly considered equivalence genes. To extract certain type of geometric primitives by GA has been already studied. However, there is hardly any research which applies the multimodal function optimization problems to simultaneous detection of geometric primitives by GA. In this paper, we propose a new approach with the functions such as observation of convergence, promotion of convergence, confirmation of convergence and maintenance of multiple subpopulations by equivalence genes to solve the above problem. We also confirmed its practical usefulness through experiment.
