Current Issue Cover

朱 俊, 王世唏, 计科峰, 粟 毅(国防科技大学电子科学与工程学院,长沙 410073)

摘 要
Improved 2D Otsu Algorithm for SAR Images

ZHU Jun, WANG Shixi, JI Kefeng, SU Yi(School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073)

As one of the classic threshold methods for image segmentation, Otsu algorithm has been widely applied in image processing. Based on the analysis of the original 2D Otsu which has the disadvantages such as histogram area partition and time consuming, this paper introduces a new method of area partition in terms of speckle noise in SAR images, and brings forward a new rule of threshold selection which fits the image model better. The experiments show that the segmentation effect of the improved algorithm is better and its computational speed has been greatly improved.