A method of Two-Dimensional Otsu image threshold segmentation based on improved Firefly Algorithm

In order to solve the problems in Two-Dimensional image threshold segmentation such as, time consuming, low accuracy and easy to produce false segmentation image, a novel image segmentation algorithm that combing improved Firefly Algorithm with Two-Dimensional Otsu(2-D Otsu) is proposed. First of all, an improved Firefly Algorithm is proposed considering the influence of the historical best position of group when updating the location of fireflies. Then, searching the optimal segmenting threshold by using image threshold segmentation method with Two-Dimensional Otsu based on improved Firefly Algorithm. Finally, completing image segmentation by the optimal segmentation threshold. It is shown that good segmentation performance is achieved by the improved algorithm, which may not only shorten the run time and improve the quality of image segmentation effectively, but also be applied to the real-time processing of image segmentation.