改进的MRF水下目标检测方法

Detection of underwater objects by improved MRF

为取得更好的水下目标检测结果,提出了一种改进的MRF水下目标检测方法.即在海底混响区服从Gamma分布的情况下,将建立的三类空间邻域MRF模型参数和层次间相互作用的模型参数应用于空间分层MRF三类分割中,得到最终精确的水下目标检测结果.在海底混响区服从威布尔分布模型的情况下,对原始声纳图像和人造模拟声纳图像检测结果的比较表明,提出的检测方法能得到更精确的检测结果,且运算速度较快.

To obtain better detection results of underwater objects, this paper proposes an algorithm for underwater objects detection based on improved MRF. When the distribution of sea-bottom reverberation areas is represented by Gamma distribution model, the established parameters of three-class spatial neighborhood MRF model and level interacting model are applied to the three-class segmentation in hierarchical MRF, then the final precise three-class segmentation results are obtained. The proposed algorithm is tested by original images and artificial images with sea-bottom reverberation areas described by Gamma distribution model. The experimental results are compared with those obtained by the previous algorithm, in which sea-bottom reverberation areas are described by Weibull distribution model. It is demonstrated that the proposed detection algorithm is more accurate and faster.