Sea-Skyline Extraction Algorithm Based on EmguCV with Infrared Images
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摘要: 本文基于海天背景目标提取技术的研究，给出一种实用的海天线提取算法。首先，采用空域滤波消除弱小船只目标和近域海浪杂碎波的干扰，对降噪后的红外图像进行形态学梯度运算，采用Ostu阈值分割方法，获取海天线边缘轮廓，然后利用Hough直线检测算法，获取海天线待拟合点数组，最后利用最小二乘法拟合海天线。实验结果表明，本算法能够准确、快速地提取海天线，为海上目标的快速探测跟踪奠定基础，对红外搜救设备进行海上目标探测跟踪具有重要意义。Abstract: Sea-skyline extraction is an important research subject in the development of infrared search-and-rescue equipment for offshore target detection and tracking. This study investigates sea-sky background target-extraction technology and develops a practical sea–skyline extraction algorithm. First, this work uses spatial filtering to eliminate the interference of a small-vessel target and near-domain sea clutter; it then performs a morphological gradient operation, obtains the edge contour of the sea–skyline using the Ostu threshold-segmentation method, obtains a point group using the Hough transform, and extracts the sea-skyline using the least square method. The experimental results show that the algorithm can accurately and quickly extract the sea-skyline. This study provides a foundation for the rapid detection and tracking of offshore targets.
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Key words:
- infrared image /
- sea-sky-line /
- morphological gradient /
- Hough transform
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