A study on a new adaptive algorithm selecting threshold of image segmentation

摘要

First, an improvement is made on mutation of adaptive genetic algorithm (AGA). The combination of one-point mutation and two-point mutation can prevent AGA from converging to the local optimum. Secondly, the improved AGA is used to select the threshold of image binary segmentation. The improved AGA is proved to give attention to both the main information and detailed information through experiments.