Marine Spill Oil SAR Image Segmentation Based on Maximum Entropy and CV Model

摘要

To solve the problem that the accuracy of SAR image segmentation is not high enough in the marine spill oil detection, a segmentation method of marine spill oil images based on maximum entropy and CV model is proposed in this paper. Firstly, the multilevel threshoding algorithm based on maximum entropy is used to make a coarse segmentation for marine spill oil images. The obtained spill oil region and coarse contour provide local region and initial contour for CV model, respectively, to reduce the scene complexity of CV model and its sensitivity to initial situation. That is CV model is utilized to subdivide the local area. Lots of experimental results show that the proposed segmentation method of marine spill oil SAR images not only enables the dispense with initial condition but also ensures accurate segmentation contour and efficient operation.