
Be the first to like this
Published on
This paper proposes a hybrid genetic algorithm to perform image segmentation based on applying the qstate Potts spin glass model to a grayscale image. First, the image is converted to a set of …
This paper proposes a hybrid genetic algorithm to perform image segmentation based on applying the qstate Potts spin glass model to a grayscale image. First, the image is converted to a set of weights for a qstate spin glass and then a steadystate genetic algorithm is used to evolve candidate segmented images until a suitable candidate solution is found. To speed up the convergence to an adequate solution, hierarchical local search is used on each evaluated solution. The results show that the hybrid genetic algorithm with hierarchical local search is able to efficiently perform image segmentation. The necessity of hierarchical search for these types of problems is also clearly demonstrated.
Be the first to like this
Be the first to comment