Adaptive Genetic Algorithm on Saliency Detection

In order to more robustly detect the salient targets in images, based on the convex hull, our paper proposed a saliency detection algorithm based on adaptive genetic algorithm. Firstly, the convex hull is constructed by Harris points of the image, the adaptive genetic algorithm is used to find the salient areas of convex hull and construct the genetic prior map. Then, construct center prior model and integrate genetic prior map and center prior model into a prior map; use Bayesian optimization framework to optimize the prior map to obtain the final saliency map. Our algorithm is evaluated on the six open saliency dataset. Extensive experimental results demonstrate that our algorithm is effective.