基于动态分块闭值去噪和改进的GDNI边缘连接的溢油遥感图像的边缘检测算法

海上溢油图像的边缘检测技术是最重要的海上溢油监测技术之一。无论是溢油的识别、位置的确定或者溢油量的获取,都需要首先确定溢油区域的边界信息。针对溢油图像的特点,提出了一种新颖的边缘检测算法。该算法由3部分组成:“非极大值抑制”实现了溢油图像的候选边缘检测;动态分块阂值算法实现了对噪声、伪边缘的清除,使获得的边缘更连续;改进的GDNI边缘连接算法实现了对去噪后图像中的中断边缘点的准确连接。通过实验结果证明,提出的算法能够得到清晰连续的溢油遥感图像的边界信息,较好地实现了具有低对比度、模糊边界以及噪声问题的溢油遥感图像的边缘检测,且具有很好的实时性。根据本算法得到的边缘检测信息,海上溢油能够更加容易和快速地被识别。

Edge Detection Algorithm of Oil Spills Remote Sensing Image Based onDBT Denoising and Improved GDNI Edge Linking

Edge detection technology of oil spills image on the sea is one of most key technologies to monitor oil spills on the sea. In view of characteristics of oil spills remote sensing image, this paper presented a novel method to detect edge of oil spills image on the sea. The algorithm is composed of three parts: "non-maximal suppression" realizes candidate edge detection of oil spills image, DBT eliminates the noise and pseudo edge in candidate edge, and makes edge locate more accurately and continuously, an improved GDNI edge linking algorithm is used for linking discrete edge points into closed edge contours. Experiment results show that the proposed algorithm can gain continuous and closed edges of oil slick remote sensing images and edge extraction for oil slick images with low contrast and strong noise.