【作者】 张锁平； 张春田；

【Author】 Zhang Suoping~(1,2) Zhang Chuntian~1 (1 School of Electronic Information Engineering Tianjin University Tianjin 300072 China; 2 National Ocean Technology Center Tianjin 300112 China)

【机构】 天津大学电子信息工程学院； 国家海洋技术中心；

【摘要】 根据海面图像分析,提出了一种基于形态分水岭变换的波面形态方向特征检测算法,首先利用波浪纹理,对图像波谷进行分水岭分割,根据波谷形态检测出与波峰波谷带垂直的方向;然后根据各个区域的边缘连接、轮廓形态和图像面积,进行方向特征加权鉴别,计算有效的分割区域方向与面积,获得海浪传播波面的形态方向;同时,根据形态方向检测的统计结果与波浪方向谱的比较,分析了海浪在不同方向分布的情况下,波面形态方向分布与海浪方向谱之间的关系。实验结果表明,形态方向比波谱方向分布更加集中,而且形态方向主要受到主波向及其附近大能量波浪的影响。更多还原

【Abstract】 To extract wave directional distributions from sea surface images,a new method is proposed,which is based on a combination of feature extraction and watershed transform.Due to the feature of sea surface images, wave crests and troughs are in different local areas with different pixel intensity.The extraction method in this paper first provides a watershed transform to segment the image into wave trough regions.Then the wave direction efficiency in the segmented regions is investigated based on the coefficients weighted with edge,shape and coverage of segmentation.Meanwhile,the pixel amount and orientations are calculated from the segmented areas.Furthermore,the wave directional distributions are compared with the directional spectra in different spreading cases.The experimental results show that the directional distributions of surface wave morphology are more concentrated than the directional distributions of sea wave spectra.更多还原