基于多结构形态学的港口船舶检测方法

针对港口监控摄像机与船舶目标距离远，船舶目标成像小，海面噪声干扰大等特点，采用一种基于多结构元素形态学滤波的背景抑制算法.根据船舶的几何特征，采用多组结构元素的加权形态学滤波，将船舶目标与海面背景分离，然后利用基于邻域的自适应快速中值滤波滤除脉冲噪声，最后根据海面杂波在帧间运动不连续且面积较小等特点，利用连通域计算建立船舶的形态特征模型，来排除海面杂波对船舶检测的干扰.实验结果证明，该检测方法在实际港口获取的视频中，可以有效的抑制背景噪声和海面杂波，快速的检测出船舶目标.

Port Ship Detection Method Based on Multi-Structure Morphology

Aiming at the image of ship target is small and far from the harbor surveillance, the interference of sea noise and other characteristics, a background suppression algorithm based on morphological filtering is proposed. According to the geometric features of the ship, the project first uses the weighted morphological filtering of multi group structure elements to separate the ship target and the sea background, then the adaptive and fast median filter based on neighborhood is used to filter the impulse noise, finally, due to the sea clutter in the frames is discontinuous and the area is lesser, thus the connected domain computing to eliminate the ship''s model about morphological feature is also used. The experimental results show that the proposed detection algorithm can effectively suppress the background noise, the sea clutter, and quickly detect the ship target in the actual port video.