摘要
针对高频声呐图像目标检测问题,基于数学形态学算子,提出了一种新的快速目标检测算法。该算法通过定义多尺度多形状的形态结构元素,对各像素点进行形态开闭运算,并采用阈值评判方法实现目标检测。仿真结果表明,该算法具有实时性好、准确度高的特点,并且可有效地克服背景中岩石等自然景物的影响,实现人造目标的准确提取。
Aiming at terms of target detection of the high-frequency sonar image, based on morphological operator,a novel algorithm used to target detection was presented. It defines frame units with multi-scale and multi-shape, and open operator and close operator are adapted to each pixel in sonar image. In the end, thresholding method is used to detect man-made target. Simulation results indicate that this method has advantages such as good real-time and high precision. Synchronously, the shape feature and size feature of target are both preserved. Influence of rocks in background of sonar image is decreased effectively.
出处
《舰船科学技术》
北大核心
2007年第6期177-179,183,共4页
Ship Science and Technology
关键词
声呐图像
目标检测
几何特征
形态学
sonar image
target detection
geometric feature
morphological
