摘要
海天分界线提取是海面目标检测跟踪系统中的重要环节,良好的提取结果既可以尽早地确定目标区域,也可以很大程度减少检测跟踪工作的复杂度。传统的一维OTSU算法在提取海天线时容易受到噪声干扰,从而影响结果的精确度,造成误检测。为解决复杂海天背景下图像噪声干扰等问题,首先通过形态学滤波器对图像数据进行降噪,之后使用二维OTSU算法,将图像的空间信息加入阈值判定标准,用二维矩阵来确定最终的阈值结果。对多幅可见光及红外图像数据进行实验后证明,本文方法能够有效减少复杂海天背景下的噪声干扰,完整地提取海天分界线。
The sea-sky-line extraction is one of the most important parts of ship detection and tracking,good extraction results can determine the target area as soon as possible,it can also be a substantial reduction in the complexity of the detection and tracking.The traditional one-dimension OTSU algorithm is susceptible to noise interference,which could affect the accuracy of the results,and cause erroneous detection.To solve the noise problem based on the complex sea-sky background,this paper chooses the morphological filter to reduce the noise first,then using two-dimension OTSU to add the spatial information of the image to threshold criteria,using a two-dimension matrix to determine the final result of the threshold.After amount of experiments on the multiple visible and infrared images,it proves that this paper＇method can reduce the noise effectively,and also extract the sea-sky-line perfectly.
出处
《国外电子测量技术》
2016年第8期67-70,共4页
Foreign Electronic Measurement Technology
