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所属单位：电子信息工程学院

发表刊物：PATTERN ANALYSIS AND APPLICATIONS

关键字：Image segmentation SAR river image Active contour model J-divergence entropy Median absolute deviation

摘要：It is of great difficulty to utilize the existing active contour models (ACMs) to achieve accurate segmentation of synthetic aperture radar (SAR) river images. To address this problem, a novel ACM driven by J-divergence entropy is proposed. The external energy constraint term of the proposed model is defined by the J-divergence entropy, which differs from those of many existing ACMs defined by the Euclidean distance. Moreover, the median absolute deviations of pixel grayscale values inside and outside the curve are utilized as energy weights, which can adaptively adjust proportions of region energies inside and outside the curve, leading to the improvement in segmentation efficiency. Experiments are performed on a large number of SAR river images, and the results demonstrate that, compared with the existing ACMs, the proposed model shows clear advantages in terms of both segmentation performance and segmentation efficiency.

ISSN号：1433-7541

是否译文：否

发表时间：2018-08-01

合写作者：韩斌

通讯作者：吴一全